From 3dd7a1b9720b7822c5ff039974963dc2fffa998f Mon Sep 17 00:00:00 2001 From: Lily Wong Date: Tue, 19 Mar 2024 19:30:26 -0400 Subject: [PATCH] Vue 3 version of the ATLAS website with redesigned look --- .env | 12 + .eslintrc.cjs | 15 + .github/workflows/deploy-github.yml | 56 + .gitignore | 28 + .gitlab-ci.yml | 37 + .gitlab/merge_request_templates/Default.md | 42 + .gitmodules | 4 + .nojekyll | 0 .prettierrc.json | 8 + CHANGELOG.md | 155 + LICENSE.txt | 14 + README.md | 44 + env.d.ts | 1 + index.html | 13 + package-lock.json | 13398 ++++++++++++++++ package.json | 62 + public/CNAME | 1 + public/README.md | 7 + public/atlas-data | 1 + public/atlas.ico | Bin 0 -> 1347 bytes public/content/ai-security-101.md | 128 + public/content/aisec101/ai-enabled-system.png | Bin 0 -> 323806 bytes public/content/aisec101/crisp-ml-process.jpg | Bin 0 -> 1780685 bytes public/content/case-study-legend.yaml | 59 + public/content/contributorslist.yaml | 197 + public/content/data-list-page-intros.yaml | 17 + public/content/descriptions/ML-lifecycle.yaml | 15 + public/content/descriptions/categories.yaml | 7 + public/content/events.yaml | 204 + public/content/faq-files/case-study-terms.md | 24 + public/content/faq-files/contact.md | 8 + public/content/faq-files/general.md | 25 + public/content/faq-files/mitigation-terms.md | 17 + public/content/update-files/2021-06.md | 12 + public/content/update-files/2021-07.md | 10 + public/content/update-files/2021-10.md | 15 + public/content/update-files/2022-03.md | 35 + public/content/update-files/2022-07.md | 35 + public/content/update-files/2022-10.md | 42 + public/content/update-files/2023-01.md | 21 + public/content/update-files/2023-02.md | 21 + public/content/update-files/2023-04.md | 11 + public/content/update-files/2023-10.md | 55 + public/content/update-files/2024-01.md | 22 + public/content/update-files/2024-03.md | 14 + public/excel-files/atlas-matrices.xlsx | Bin 0 -> 7579 bytes public/excel-files/atlas-mitigations.xlsx | Bin 0 -> 18967 bytes public/excel-files/atlas-tactics.xlsx | Bin 0 -> 9895 bytes public/excel-files/atlas-techniques.xlsx | Bin 0 -> 26002 bytes public/excel-files/atlas.xlsx | Bin 0 -> 36246 bytes public/pdf-files/MITRE_ATLAS_Fact_Sheet.pdf | Bin 0 -> 758210 bytes src/App.vue | 27 + src/assets/ATLAS_tm_black.png | Bin 0 -> 11915 bytes src/assets/GettyImages-1178228880-small.jpg | Bin 0 -> 342148 bytes .../MITRE-brand_ATLAS_MITRE_tm_white.svg | 1 + src/assets/MITRE_Mission_Vertical_White.svg | 52 + src/assets/base64_atlas_logo.js | 7 + src/assets/compass.png | Bin 0 -> 39485 bytes src/assets/dataHelpers.js | 141 + src/assets/events/blackhat.jpg | Bin 0 -> 44412 bytes src/assets/events/defcon.jpg | Bin 0 -> 85009 bytes src/assets/events/network.jpeg | Bin 0 -> 73269 bytes src/assets/events/rsa.jpg | Bin 0 -> 65770 bytes src/assets/fonts/TradeGothicLTPro-Bold.otf | Bin 0 -> 42704 bytes src/assets/global.css | 22 + src/assets/graphics/MITRE_ATLAS_light.svg | 1 + .../graphics/MITRE_ATLAS_logo_stacked.svg | 1 + src/assets/logo.svg | 6 + src/assets/matrix.css | 296 + src/assets/matrix.png | Bin 0 -> 523181 bytes src/assets/mitre-logo-white.svg | 24 + src/assets/nav-layer-icon.png | Bin 0 -> 24243 bytes src/assets/powerpointFunctions.js | 489 + src/assets/tools.js | 348 + src/components/AttackIconToolTip.vue | 34 + src/components/BreadCrumbs.vue | 102 + src/components/ContactCard.vue | 33 + src/components/DownloadDataDropdown.vue | 71 + src/components/Header.vue | 226 + src/components/NavigatorLayerDropdown.vue | 61 + src/components/PageSectionTitle.vue | 20 + src/components/PastEvents.vue | 71 + src/components/ProcedureTimeline.vue | 57 + src/components/ScrollToTopButton.vue | 47 + src/components/SideNav.vue | 186 + src/components/UpcomingEvents.vue | 95 + src/components/UpdateContent.vue | 19 + src/components/UpdatesTable.vue | 66 + .../case-study-form/AddProcedure.vue | 178 + src/components/case-study-form/AddSource.vue | 124 + .../EditableProcedureTimeline.vue | 139 + .../case-study-form/InstructionsDialog.vue | 90 + src/components/case-study-form/SourceList.vue | 78 + .../case-study-form/UploadFileDialog.vue | 156 + src/components/data-display/DataSection.vue | 72 + src/components/data-display/DataSidebar.vue | 28 + .../data-display/DataSidebarEntry.vue | 173 + src/components/data-display/InfoTable.vue | 208 + .../data-display/RelatedObjsList.vue | 59 + src/components/data-display/TableFilter.vue | 62 + src/components/data-display/Tag.vue | 57 + src/components/footer/Copyright.vue | 44 + src/components/footer/Footer.vue | 13 + src/components/footer/Mission.vue | 52 + src/components/home/About.vue | 104 + src/components/home/Hero.vue | 57 + src/components/home/MatrixSection.vue | 98 + src/components/home/MatrixStat.vue | 29 + src/components/home/NewsCard.vue | 69 + src/components/home/NewsSection.vue | 53 + src/components/icons/IconCommunity.vue | 7 + src/components/icons/IconDocumentation.vue | 7 + src/components/icons/IconEcosystem.vue | 7 + src/components/icons/IconSupport.vue | 7 + src/components/icons/IconTooling.vue | 19 + src/components/matrix/AtlasMatrix.vue | 33 + src/components/matrix/AttackTechniqueCell.vue | 57 + src/components/matrix/AttackTechniqueRow.vue | 77 + src/components/matrix/MatrixAttackStyle.vue | 65 + src/layouts/default.vue | 53 + src/main.ts | 29 + src/plugins/analytics.ts | 12 + src/plugins/markdownit.ts | 74 + src/plugins/osano.ts | 14 + src/plugins/vuetify.ts | 44 + src/router/index.ts | 99 + src/stores/main.js | 735 + src/views/BuildCaseStudyView.vue | 444 + src/views/ErrorNotFoundView.vue | 30 + src/views/Home.vue | 15 + src/views/IDView.vue | 96 + src/views/MatrixView.vue | 9 + src/views/NavigatorView.vue | 61 + src/views/ObjectListView.vue | 82 + src/views/StudiesIDView.vue | 128 + src/views/StudiesIntroText.vue | 50 + src/views/TermsView.vue | 40 + src/views/resources/AiSecurity101View.vue | 35 + src/views/resources/ContactView.vue | 123 + src/views/resources/ContributorsListView.vue | 124 + src/views/resources/EventsView.vue | 60 + src/views/resources/FAQView.vue | 60 + .../resources/GeneralInformationView.vue | 237 + src/views/resources/UpdatesListView.vue | 34 + tsconfig.app.json | 13 + tsconfig.json | 11 + tsconfig.node.json | 16 + vite.config.ts | 43 + vuetify.options.js | 2 + 149 files changed, 22390 insertions(+) create mode 100644 .env create mode 100644 .eslintrc.cjs create mode 100644 .github/workflows/deploy-github.yml create mode 100644 .gitignore create mode 100644 .gitlab-ci.yml create mode 100644 .gitlab/merge_request_templates/Default.md create mode 100644 .gitmodules create mode 100644 .nojekyll create mode 100644 .prettierrc.json create mode 100644 CHANGELOG.md create mode 100644 LICENSE.txt create mode 100644 README.md create mode 100644 env.d.ts create mode 100644 index.html create mode 100644 package-lock.json create mode 100644 package.json create mode 100644 public/CNAME create mode 100644 public/README.md create mode 160000 public/atlas-data create mode 100644 public/atlas.ico create mode 100644 public/content/ai-security-101.md create mode 100644 public/content/aisec101/ai-enabled-system.png create mode 100644 public/content/aisec101/crisp-ml-process.jpg create mode 100644 public/content/case-study-legend.yaml create mode 100644 public/content/contributorslist.yaml create mode 100644 public/content/data-list-page-intros.yaml create mode 100644 public/content/descriptions/ML-lifecycle.yaml create mode 100644 public/content/descriptions/categories.yaml create mode 100644 public/content/events.yaml create mode 100644 public/content/faq-files/case-study-terms.md create mode 100644 public/content/faq-files/contact.md create mode 100644 public/content/faq-files/general.md create mode 100644 public/content/faq-files/mitigation-terms.md create mode 100644 public/content/update-files/2021-06.md create mode 100644 public/content/update-files/2021-07.md create mode 100644 public/content/update-files/2021-10.md create mode 100644 public/content/update-files/2022-03.md create mode 100644 public/content/update-files/2022-07.md create mode 100644 public/content/update-files/2022-10.md create mode 100644 public/content/update-files/2023-01.md create mode 100644 public/content/update-files/2023-02.md create mode 100644 public/content/update-files/2023-04.md create mode 100644 public/content/update-files/2023-10.md create mode 100644 public/content/update-files/2024-01.md create mode 100644 public/content/update-files/2024-03.md create mode 100644 public/excel-files/atlas-matrices.xlsx create mode 100644 public/excel-files/atlas-mitigations.xlsx create mode 100644 public/excel-files/atlas-tactics.xlsx create mode 100644 public/excel-files/atlas-techniques.xlsx create mode 100644 public/excel-files/atlas.xlsx create mode 100644 public/pdf-files/MITRE_ATLAS_Fact_Sheet.pdf create mode 100644 src/App.vue create mode 100644 src/assets/ATLAS_tm_black.png create mode 100644 src/assets/GettyImages-1178228880-small.jpg create mode 100644 src/assets/MITRE-brand_ATLAS_MITRE_tm_white.svg create mode 100644 src/assets/MITRE_Mission_Vertical_White.svg create mode 100644 src/assets/base64_atlas_logo.js create mode 100644 src/assets/compass.png create mode 100644 src/assets/dataHelpers.js create mode 100644 src/assets/events/blackhat.jpg create mode 100644 src/assets/events/defcon.jpg create mode 100644 src/assets/events/network.jpeg create mode 100644 src/assets/events/rsa.jpg create mode 100644 src/assets/fonts/TradeGothicLTPro-Bold.otf create mode 100644 src/assets/global.css create mode 100644 src/assets/graphics/MITRE_ATLAS_light.svg create mode 100644 src/assets/graphics/MITRE_ATLAS_logo_stacked.svg create mode 100644 src/assets/logo.svg create mode 100644 src/assets/matrix.css create mode 100644 src/assets/matrix.png create mode 100644 src/assets/mitre-logo-white.svg create mode 100644 src/assets/nav-layer-icon.png create mode 100644 src/assets/powerpointFunctions.js create mode 100644 src/assets/tools.js create mode 100644 src/components/AttackIconToolTip.vue create mode 100644 src/components/BreadCrumbs.vue create mode 100644 src/components/ContactCard.vue create mode 100644 src/components/DownloadDataDropdown.vue create mode 100644 src/components/Header.vue create mode 100644 src/components/NavigatorLayerDropdown.vue create mode 100644 src/components/PageSectionTitle.vue create mode 100644 src/components/PastEvents.vue create mode 100644 src/components/ProcedureTimeline.vue create mode 100644 src/components/ScrollToTopButton.vue create mode 100644 src/components/SideNav.vue create mode 100644 src/components/UpcomingEvents.vue create mode 100644 src/components/UpdateContent.vue create mode 100644 src/components/UpdatesTable.vue create mode 100644 src/components/case-study-form/AddProcedure.vue create mode 100644 src/components/case-study-form/AddSource.vue create mode 100644 src/components/case-study-form/EditableProcedureTimeline.vue create mode 100644 src/components/case-study-form/InstructionsDialog.vue create mode 100644 src/components/case-study-form/SourceList.vue create mode 100644 src/components/case-study-form/UploadFileDialog.vue create mode 100644 src/components/data-display/DataSection.vue create mode 100644 src/components/data-display/DataSidebar.vue create mode 100644 src/components/data-display/DataSidebarEntry.vue create mode 100644 src/components/data-display/InfoTable.vue create mode 100644 src/components/data-display/RelatedObjsList.vue create mode 100644 src/components/data-display/TableFilter.vue create mode 100644 src/components/data-display/Tag.vue create mode 100644 src/components/footer/Copyright.vue create mode 100644 src/components/footer/Footer.vue create mode 100644 src/components/footer/Mission.vue create mode 100644 src/components/home/About.vue create mode 100644 src/components/home/Hero.vue create mode 100644 src/components/home/MatrixSection.vue create mode 100644 src/components/home/MatrixStat.vue create mode 100644 src/components/home/NewsCard.vue create mode 100644 src/components/home/NewsSection.vue create mode 100644 src/components/icons/IconCommunity.vue create mode 100644 src/components/icons/IconDocumentation.vue create mode 100644 src/components/icons/IconEcosystem.vue create mode 100644 src/components/icons/IconSupport.vue create mode 100644 src/components/icons/IconTooling.vue create mode 100644 src/components/matrix/AtlasMatrix.vue create mode 100644 src/components/matrix/AttackTechniqueCell.vue create mode 100644 src/components/matrix/AttackTechniqueRow.vue create mode 100644 src/components/matrix/MatrixAttackStyle.vue create mode 100644 src/layouts/default.vue create mode 100644 src/main.ts create mode 100644 src/plugins/analytics.ts create mode 100644 src/plugins/markdownit.ts create mode 100644 src/plugins/osano.ts create mode 100644 src/plugins/vuetify.ts create mode 100644 src/router/index.ts create mode 100644 src/stores/main.js create mode 100644 src/views/BuildCaseStudyView.vue create mode 100644 src/views/ErrorNotFoundView.vue create mode 100644 src/views/Home.vue create mode 100644 src/views/IDView.vue create mode 100644 src/views/MatrixView.vue create mode 100644 src/views/NavigatorView.vue create mode 100644 src/views/ObjectListView.vue create mode 100644 src/views/StudiesIDView.vue create mode 100644 src/views/StudiesIntroText.vue create mode 100644 src/views/TermsView.vue create mode 100644 src/views/resources/AiSecurity101View.vue create mode 100644 src/views/resources/ContactView.vue create mode 100644 src/views/resources/ContributorsListView.vue create mode 100644 src/views/resources/EventsView.vue create mode 100644 src/views/resources/FAQView.vue create mode 100644 src/views/resources/GeneralInformationView.vue create mode 100644 src/views/resources/UpdatesListView.vue create mode 100644 tsconfig.app.json create mode 100644 tsconfig.json create mode 100644 tsconfig.node.json create mode 100644 vite.config.ts create mode 100644 vuetify.options.js diff --git a/.env b/.env new file mode 100644 index 00000000..550387e6 --- /dev/null +++ b/.env @@ -0,0 +1,12 @@ +# Specify if deploying under a nested public path +# https://vitejs.dev/guide/build.html#public-base-path +VITE_BASE_URL='/' +# Configure names used in the content +VITE_SHORT_NAME='ATLAS' +VITE_MITRE_TITLE='MITRE ATLAS™' +VITE_CONTACT_EMAIL='atlas@mitre.org' +# URL of the deployed Navigator instance +# See https://github.com/mitre-attack/attack-navigator for source info +VITE_NAVIGATOR_URL='https://mitre-atlas.github.io/atlas-navigator' +# Used to construct URL to Navigator layer JSON files for case studies +VITE_NAVIGATOR_LAYER_GITHUB_URL='https://raw.githubusercontent.com/mitre-atlas/atlas-navigator-data/main' diff --git a/.eslintrc.cjs b/.eslintrc.cjs new file mode 100644 index 00000000..6f40582d --- /dev/null +++ b/.eslintrc.cjs @@ -0,0 +1,15 @@ +/* eslint-env node */ +require('@rushstack/eslint-patch/modern-module-resolution') + +module.exports = { + root: true, + 'extends': [ + 'plugin:vue/vue3-essential', + 'eslint:recommended', + '@vue/eslint-config-typescript', + '@vue/eslint-config-prettier/skip-formatting' + ], + parserOptions: { + ecmaVersion: 'latest' + } +} diff --git a/.github/workflows/deploy-github.yml b/.github/workflows/deploy-github.yml new file mode 100644 index 00000000..8e7f54dd --- /dev/null +++ b/.github/workflows/deploy-github.yml @@ -0,0 +1,56 @@ +name: GitHub Pages + +on: + push: + branches: + - main + pull_request: + +jobs: + deploy: + runs-on: ubuntu-22.04 + permissions: + contents: write + concurrency: + group: ${{ github.workflow }}-${{ github.ref }} + steps: + - uses: actions/checkout@v4 + with: + submodules: recursive + + - name: Setup Node + uses: actions/setup-node@v4 + with: + node-version: "20" + + - name: Cache dependencies + uses: actions/cache@v4 + with: + path: ~/.npm + key: ${{ runner.os }}-node-${{ hashFiles('**/package-lock.json') }} + restore-keys: | + ${{ runner.os }}-node- + + - name: Configure environment variables + shell: bash + env: + GOOGLE_ANALYTICS_ID: ${{ secrets.GOOGLE_ANALYTICS_ID }} + VITE_OSANO_SCRIPT: ${{ secrets.VITE_OSANO_SCRIPT }} + run: echo -e "VITE_ANALYTICS_ID=$GOOGLE_ANALYTICS_ID\nVITE_OSANO_SCRIPT=$VITE_OSANO_SCRIPT" > .env.production + + - name: Install dependencies + run: npm install + + - name: Build for production + run: | + export NODE_OPTIONS="--max_old_space_size=4096" + npm run build + # Fix for 404 on refresh issue + cp dist/index.html dist/404.html + + - name: deploy + uses: peaceiris/actions-gh-pages@v3 + if: ${{ github.ref == 'refs/heads/main' }} + with: + github_token: ${{ secrets.GITHUB_TOKEN }} + publish_dir: ./dist diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..38adffa6 --- /dev/null +++ b/.gitignore @@ -0,0 +1,28 @@ +# Logs +logs +*.log +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +lerna-debug.log* + +node_modules +.DS_Store +dist +dist-ssr +coverage +*.local + +/cypress/videos/ +/cypress/screenshots/ + +# Editor directories and files +.vscode/* +!.vscode/extensions.json +.idea +*.suo +*.ntvs* +*.njsproj +*.sln +*.sw? diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml new file mode 100644 index 00000000..03ea7df8 --- /dev/null +++ b/.gitlab-ci.yml @@ -0,0 +1,37 @@ +image: node:latest + +variables: + GIT_SUBMODULE_STRATEGY: normal + +pages: + stage: deploy + cache: + key: + files: + - package-lock.json + prefix: npm + paths: + - node_modules/ + script: + # Configure to set Navigator URL, etc. + - echo "VITE_BASE_URL=$CI_PROJECT_NAME" >> .env + - cat .env + - npm run build + # navigate into the build output directory + - cd dist + # fix for 404 on refresh issue + - cp index.html 404.html + - cd .. + - cp -a dist/. public/ + artifacts: + paths: + - public + rules: + - if: $CI_COMMIT_BRANCH == $CI_DEFAULT_BRANCH + tags: + - pages + +default: + before_script: + # Install and cache dependencies + - npm install --cache .npm --prefer-offline diff --git a/.gitlab/merge_request_templates/Default.md b/.gitlab/merge_request_templates/Default.md new file mode 100644 index 00000000..fdea2ac2 --- /dev/null +++ b/.gitlab/merge_request_templates/Default.md @@ -0,0 +1,42 @@ +# Description + +Jira Ticket: + +Add Navigator page + +## Important Changes + +`test.vue` + +* List changes here + + +Notes: + +* List notes here + +## Testing Recommendations + +* [ ] List testing steps here + + +# Checklists + +**Submitter:** + +* [ ] This MR is into the correct branch. +* [ ] Comment added to the relevant Jira ticket(s) with a link to this MR. +* [ ] The relevant Jira ticket has been moved to 'In Review'. +* [ ] Post on Slack that the MR is open for review, tagging the reviewer. +* [ ] Code diff has been reviewed (it **does not** contain: additional white space, not applicable code changes, debug statements, etc.). + +**Reviewer:** + +* [ ] Code is maintainable and reusable, reuses existing code and infrastructure where appropriate, and accomplishes the task’s purpose. +* [ ] You have tried to break the code. +* [ ] Tested all recommendations listed in the "Testing Recommendations" section. The application behaves as expected with this MR. + +**Final Merger** + +* [ ] At least one review/approval have been received on this MR and all checklists have been completed. +* [ ] The relevant Jira ticket has been moved to 'Done.' diff --git a/.gitmodules b/.gitmodules new file mode 100644 index 00000000..ec660887 --- /dev/null +++ b/.gitmodules @@ -0,0 +1,4 @@ +[submodule "public/atlas-data"] + path = public/atlas-data + url = ../atlas-data.git + branch = main diff --git a/.nojekyll b/.nojekyll new file mode 100644 index 00000000..e69de29b diff --git a/.prettierrc.json b/.prettierrc.json new file mode 100644 index 00000000..66e23359 --- /dev/null +++ b/.prettierrc.json @@ -0,0 +1,8 @@ +{ + "$schema": "https://json.schemastore.org/prettierrc", + "semi": false, + "tabWidth": 2, + "singleQuote": true, + "printWidth": 100, + "trailingComma": "none" +} \ No newline at end of file diff --git a/CHANGELOG.md b/CHANGELOG.md new file mode 100644 index 00000000..8ac0f5f7 --- /dev/null +++ b/CHANGELOG.md @@ -0,0 +1,155 @@ +# ATLAS Website Changelog + +## [4.0.0]() (2024-03-11) + +Website redesign + +#### Website +- Migrated from Nuxt.js 2 to Vue 3 +- Design updates + +#### Data +- Updated ATLAS data to [version 4.5.2](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#452-2024-03-11) + +## [3.6.1]() (2024-01-12) + +#### Website +- Minor mitigations updates +- Updated events and LinkedIn info + +#### Data +- Updated ATLAS data to [version 4.5.1](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#451-2024-01-12) + +## [3.6.0]() (2023-10-25) + +#### Website +- New LLM content and updated mitigations + +#### Data +- Updated ATLAS data to [version 4.5.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#450-2023-10-25) + +## [3.5.0]() (2023-04-12) + +#### Website +- Initial mitigations + +#### Data +- Updated ATLAS data to [version 4.4.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#440-2023-04-12) + +## [3.4.0]() (2023-03-01) + +#### Website +- Minor fixes + +#### Data +- Updated ATLAS data to [version 4.3.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#430-2023-02-28) + +## [3.3.0]() (2023-01-19) + +#### Website +- ATLAS tactics and techniques that are adapted from ATT&CK are denoted with a red & +- Updated events list +- Various fixes + +#### Data +- Updated ATLAS data to [version 4.2.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#420-2023-01-18) + +## [3.2.0]() (2022-10-28) + +#### Website +- Supports new case study fields: case study type, reporter, target, and actor +- Added FAQ page in "Resources" navigation menu +- Added "Key Info" button on individual case study pages +- Various fixes and updates + +#### Data +- Updated ATLAS data to [version 4.1.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#410-2022-10-27) + +## [3.1.0]() (2022-07-12) + +#### Website +- Supports display of custom data object types and string properties +- Supports display of multiple matrices +- Updated site navigation features with better support for small screens +- Various fixes and updates + +#### Data +- Updated ATLAS data to [version 4.0.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#400-2022-05-27) + +## [3.0.0]() (2022-03-31) + +#### Website +- Added case study builder feature +- Added ability to download case studies as Powerpoint files and raw YAML +- Added events list and more ways to get involved on the contact page +- Various fixes and language updates + +#### Data +- Updates ATLAS data to [version 3.0.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#300-2022-03-23) +- Moved ATLAS data files to their own repositories + +## [2.3.2]() (2022-01-04) + +#### Data +- Added individual case study YAML files for case study builder use + +## [2.3.1]() (2021-11-23) + +#### Data +- Fixed Navigator layer files for the 2 new case studies + +## [2.3.0]() (2021-10-29) + +#### Website +- Added case study examples to technique pages + +#### Data +- Updated ATLAS data to [version 2.2.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#220-2021-10-29) + +## [2.2.2]() (2021-07-28) + +#### Data +- Updated ATLAS Navigator layer files for parent technique expansion and relevant tactic highlights + +## [2.2.1]() (2021-07-14) + +#### Website +- Added buttons on each case study page to view its layer on the ATLAS Navigator + +## [2.2.0]() (2021-07-12) + +#### Website +- Removed colloquium announcement +- Various fixes + +#### Data +- Added ATLAS Navigator layer files to highlight techniques used in each case study + +## [2.1.3]() (2021-06-22) + +#### Website +- Added contact email +- Fixed sources format + +## [2.1.2]() (2021-06-21) + +#### Website +- Added analytics +- Various fixes + +## [2.1.1]() (2021-06-18) + +#### Website +- Added ATLAS Navigator page and CNAME +- Language updates + +## [2.1.0]() (2021-06-16) + +#### Website +- Added new footer, logos, colloquium announcement +- Updated to privacy policy, terms of use, and license +- Various fixes + +## [2.0.0]() (2021-05-13) + +Initial GitHub release with ATLAS data [version 2.0.0](https://github.com/mitre-atlas/atlas-data/blob/main/CHANGELOG.md#200-2021-05-13) diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 00000000..015f1dc0 --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,14 @@ +Licensed under the Apache License, Version 2.0 (the "License"); +you may not use this file except in compliance with the License. +You may obtain a copy of the License at + + http://www.apache.org/licenses/LICENSE-2.0 + +Unless required by applicable law or agreed to in writing, software +distributed under the License is distributed on an "AS IS" BASIS, +WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +See the License for the specific language governing permissions and +limitations under the License. + +This project makes use of ATT&CK®. +ATT&CK® Terms of Use - https://attack.mitre.org/resources/terms-of-use/ diff --git a/README.md b/README.md new file mode 100644 index 00000000..7a9fc35d --- /dev/null +++ b/README.md @@ -0,0 +1,44 @@ +# ATLAS Website + +ATLAS enables researchers to navigate the landscape of threats to artificial intelligence systems. Visit https://atlas.mitre.org for more information. + +This repository contains the ATLAS website source code, which is built upon Vue 3 and served via GitHub Pages at https://atlas.mitre.org. + +## Initial Git Setup + +This project uses the `atlas-data` project in this group as a Git submodule in `public/atlas-data`. + +Clone the repository using `git clone --recurse-submodules`, or if the repository is already cloned, run `git submodule init` then `git submodule update`. + +Once the submodule is available, run the following **once** to sparse checkout only the necessary files in the `dist` directory. + +```bash +git -C static/atlas-data/ config core.sparseCheckout true +echo 'dist/*' >> .git/modules/static/atlas-data/info/sparse-checkout +git submodule update --force --checkout static/atlas-data/ +``` + +## Updating ATLAS Data + +To update `atlas-data`, run `git submodule update --remote` to get the latest from its main branch, then commit the result. + +## Development Setup + +Ensure node and npm are available - currently using node v20. + +```bash +# Install dependencies +$ npm install + +# Serve with hot reload +$ npm run dev + +# Build for production and launch preview server +$ npm run build +$ npm run preview +``` + +## Notice + +Copyright 2021-2024 The MITRE Corporation. +Approved for Public Release; Distribution Unlimited. Case Number 21-2363. diff --git a/env.d.ts b/env.d.ts new file mode 100644 index 00000000..11f02fe2 --- /dev/null +++ b/env.d.ts @@ -0,0 +1 @@ +/// diff --git a/index.html b/index.html new file mode 100644 index 00000000..f36a113e --- /dev/null +++ b/index.html @@ -0,0 +1,13 @@ + + + + + + + Vite App + + +
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academic research. + +ATLAS is modeled after the MITRE ATT&CK® framework and its tactics and techniques are complementary to those in ATT&CK. Machine learning is increasingly used across a variety of industries and there are a growing number of vulnerabilities. We developed ATLAS to raise awareness of these threats and present them in a way familiar to security researchers. + +Visit the ATLAS website at https://atlas.mitre.org! diff --git a/public/atlas-data b/public/atlas-data new file mode 160000 index 00000000..7ad95c0b --- /dev/null +++ b/public/atlas-data @@ -0,0 +1 @@ +Subproject commit 7ad95c0b1bdeeae5c83e23c9f093cdd8fdb703ab diff --git a/public/atlas.ico b/public/atlas.ico new file mode 100644 index 0000000000000000000000000000000000000000..3340ec6dd534291083c55cf8a2ccc3aca53650ee GIT binary patch literal 1347 zcmYL{dpHwn9LLvjIpL9UbTcQ*S-8ihGZ^nMmQ%&a#`zM zGx5-Jw~_lL!+J21b2REKm1wB5a$fy&KF{}ed;fT!=l#83F5b^eU)Mwz0)gn`ys-pO z;p?$c17z&I>@H9?#1p(Qkjg>Rf54zgbwBD3fmG+~sYA6Oke_zreMz3+9BPk;yHTJn z>)9H}o3hK3;z*{W$#iS)GbiX7PDI*qI-4Ao&MAJ#6V|bBJjwzp7H~@iJYhZmaRaC5 zVOe<{zoN0Myq;H4|7<`uAe+1?tZ(fbdDaj5iPqlX_I_F4@OZyW4*G!+`OKVB@djvK z@pj%TG!cxi-vYe@e6bRZcz zl8qe6#x8-zsKCwWpv~x$Tb#&ST>`cq2;PPY*zOu)f)0eahniwSO+CU)J;Kd>&Lezj zmd9c&@v*kJ2-^S#@<^nePo&)m=5Al=?x3VS!O8nV(;UMyog>&Tq-Yl^2StuSlVkQD zrymH2JrtAg8vDCj+%^xb_%!%>-KiV(VK>ELe94(RZ4r0d&pzm)3HxXj15uBkM^{N>Yep{Cj$W)E zXJnT#8srJtWeH7_%p4xGc`~tODoOn6QrllCZ8MkKU#E5`SY2~z-ET4n=Go8RbEF@* zBa7LxrJNU^ua2s6M^|#kR`SMIZ#)ncKNJ-|dRii=t!nJ7Y3Y6O_6fkNQ`dwY8~H$0xgV&(sU&*xVGBmgO3`UfBX=Ti{wD7Zq0?j0BpfoMHhj}7nP zRBzzOlQ^t9$>kWC_{GE5-&mYqY~zFIgvv)K*6cn(7BUxO$nLp5pIcpY>YBy=osoY1 z78Ba{BhhQTaMiJV3=I<6BZbO>n9Zc2R6a)Ge9Ic$Sf zclV1iOQIEw?lzlMh`e1oqJSxUN!9G6j;avoyTEkk5+T<@N!8IZgPKiwsq4A=+bo*O zhMwu>^)6HM`}_T!ZspG9Txjgj{a}81lKdi%$x;2H6VCIYbvBq$sxv zLJH6zX&P49NMTd<=gYl#FaxX(>z +
+
+ AI-enabled system +
+
+ Figure 1: An AI-enabled system and key concepts. +
+
+

+ +The table below provides high-level descriptions of adversarial attacks and their possible effects on AI-enabled systems. +For a comprehensive list we recommend exploring the [ATLAS matrix](/matrices/ATLAS). + +| Attack | Overview | +| :--- | :--- | +| Poisoning Attack | Attacker modifies the training data of an AI system to get a desired outcome at inference time. With influence over training data, an attacker can create backdoors in the model where an input with the specified trigger will result in a particular output. | +| Evasion Attack | Attacker elicits an incorrect response from a model by crafting adversarial inputs. Typically, these inputs are designed to be indistinguishable from normal data. These attacks can be targeted, where the attacker tries to produce a specific classification, or untargeted, where they attempt to produce any incorrect classification. | +| Functional Extraction | Attacker recovers a functionally equivalent model by iteratively querying the model. This allows an attacker to examine the offline copy of the model before further attacking the online model. | +| Inversion Attack | Attacker recovers sensitive information about the training data. This can include full reconstructions of the data, or attributes or properties of the data. This can be a successful attack on its own or can be used to perform other attacks such as Model Evasion. | +| Prompt Injection Attack | Attacker crafts malicious prompts as inputs to a large language model (LLM) that cause the LLM to act in unintended ways. These "prompt injections" are often designed to cause the model to ignore aspects of its original instructions and follow the adversary's instructions instead. | +| Traditional Cyber Attack | Attacker uses well-established Tactics, Techniques, and Procedures (TTPs) from the cyber domain to attain their goal. These attacks may target model artifacts, API keys, data servers, or other foundational aspects of AI compute infrastructure distinct from the model itself. | + + +#### How does security fit into AI model lifecycles? + +An important consideration to countering attacks on AI-enabled systems is establishing clear operational procedures for managing a model throughout its lifecycle. Developing and deploying a robust AI model involves multiple phases of effort that typically involve different teams, developers, and stakeholders. Just as with the Software Development and Operations (DevOps) methodology, the field of Machine Learning Operations (MLOps) defines best practices and tools for deploying reliable, reproducible, and adaptable models. A good example of a model development pipeline with a MLOps focus is [CRISP-ML(Q)](https://ml-ops.org/content/crisp-ml), the Cross-Industry Standard Process for the development of Machine Learning applications with Quality assurance. + +CRISP-ML(Q) defines six phases in the model lifecycle: + + 1. _Business and Data Understanding_ + 2. _Data Engineering (Data Preparation)_ + 3. _Machine Learning Model Engineering_ + 4. _Quality Assurance for Machine Learning Applications_ + 5. _Deployment_ + 6. _Monitoring and Maintenance_ + +
+
+ CRISP-ML(Q) Machine Learning Development Life Cycle Process Diagram +
+
+ Figure 2: "The Machine Learning Development Life Cycle Process" by visenger. CC BY 4.0. +
+
+ + +Each phase begins with defining the requirements and constraints of the task, then cycles through a process of risk identification, risk evaluation, and risk mitigation until requirements are met. Teams often revisit earlier phases and loop through the pipeline multiple times as stakeholders define new requirements and constraints. + +It is expected that during the _Monitoring and Maintenance_ phase that the process will return to earlier development phases in response to changing real-world conditions, such as concept drift, data drift, or malicious actions. + +In ATLAS, we tag [mitigations](/mitigations) with phases from the CRISP-ML(Q) lifecycle to help each phase’s teams identify vulnerabilities that could impact their task requirements and possible ways to respond. We also encourage interested parties to read [the original paper on CRISP-ML(Q)](https://arxiv.org/pdf/2003.05155.pdf) + + +#### Recent AI Security Topics + +AI Security is a constantly evolving field with subfields emerging as the technologies mature. We describe recent developments in three notable sub-fields below: + +##### LLM Security +Large Language Models (LLMs) are a particular category of natural language models trained on hundreds of billions of words that can generate text or images and videos in response to natural language prompts. They vaulted to public popularity with the release of OpenAI’s ChatGPT in November of 2022 due to their ability to perform multiple complex tasks such as content generation, style transfer, and text summarization, all with a single model. + +From a security perspective, these systems introduce unique challenges to an AI pipeline due to the massive size of the training dataset, opaque internal architecture of the model, and use of natural language for input prompting. For example, [indirect prompt injection attacks](/techniques/AML.T0051.001) can be used to [extract a user’s personally identifiable information (PII)](/studies/AML.CS0021) or [influence the user to visit malicious websites](/studies/AML.CS0020). For sample adversarial techniques, see [LLM Prompt Injection](/techniques/AML.T0051), [Compromise LLM Plugins](/techniques/AML.T0053), and [LLM Jailbreak](/techniques/AML.T0054). + +We [updated ATLAS in Fall 2023](https://www.mitre.org/news-insights/news-release/mitre-and-microsoft-collaborate-address-generative-ai-security-risks) to incorporate a new LLM focus that includes real-world case studies of adversarial attacks. In addition to this ATLAS work, we recommend [this external list](https://llmsecurity.net/) of LLM security related papers, articles, and tools for those interested in learning more. + + +##### Hardware Security + +Hardware security has been studied extensively in classical cybersecurity settings and is now being examined in relation to AI systems. Example hardware security attacks include: + +1. Side channel attacks — information about the system is deduced from alternative information streams such as voltage measurements or response timing, +2. Fault injection attacks — systems are actively disrupted by faulty input data or physical environment disruptions, and +3. Hardware Trojan attacks — malicious backdoors are inserted into the hardware of the systems including GPUs and other platform circuitry. + +We refer interested readers to the following survey papers on this topic: +- [Zhou et al. (2021): Deep Neural Network Security From a Hardware Perspective](https://ieeexplore.ieee.org/abstract/document/9642246) +- [Xu et al. (2021): Security of Neural Networks from Hardware Perspective: A Survey and Beyond.](https://ieeexplore.ieee.org/document/9371637) + +##### Policy + +As the significance of vulnerabilities in AI-enabled systems becomes more widely known, policy makers and political leaders have been exploring the best way to balance interests of privacy and innovation. In the United States, the [Executive Order 14110](https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/) recently directed over 50 federal entities to take action across a range of AI policy areas. Several federal agencies have also enacted guidance on AI in recent years (e.g., [GSA AI Guide for Government](https://coe.gsa.gov/coe/ai-guide-for-government/print-all/index.html), [DoD Responsible AI Strategy](https://www.defense.gov/News/Releases/Release/Article/3588743/cdao-releases-responsible-ai-rai-toolkit-for-ensuring-alignment-with-rai-best-p/)), but legislation over academic and private sector bodies remains a complex issue with technological, economic, and ethical considerations. The most effective way to balance these factors is an open research question. + +We list a few leading relevant publications on this topic below: + +- [AI Risk Management Framework](tps://www.nist.gov/itl/ai-risk-management-framework), NIST +- [Guidelines for Secure AI System Development](https://www.ncsc.gov.uk/files/Guidelines-for-secure-AI-system-development.pdf), UK National Cyber Security Centre +- [A Unified Framework of Five Principles for AI in Society](https://hdsr.mitpress.mit.edu/pub/l0jsh9d1/release/8), Harvard Data Science Review +- [A Taxonomy of Trustworthiness for Artificial Intelligence, UC Berkeley Center for Long-Term Cybersecurity](https://cltc.berkeley.edu/publication/a-taxonomy-of-trustworthiness-for-artificial-intelligence/) +- [Ethics and Governance of Artificial Intelligence for Health](https://www.who.int/publications/i/item/9789240029200), World Health Organization +- [A Sensible Regulatory Framework for AI Security](https://www.mitre.org/news-insights/publication/sensible-regulatory-framework-ai-security), MITRE +- [Strengthening and Democratizing the US Artificial Intelligence Innovation Ecosystem: An Implementation Plan for a National Artificial Intelligence Research Resource](https://resourcecenter.cis.ieee.org/government/usa/cisgovph0020), National Artificial Intelligence Research Resource Task Force +- [Artificial Intelligence Bill of Rights](https://hai.stanford.edu/white-paper-stanford-hai-artificial-intelligence-bill-rights), Stanford University Human-Centered Artificial Intelligence +- [S.3572 Algorithmic Accountability Act of 2022](https://www.congress.gov/bill/117th-congress/senate-bill/3572), 117th United States Congress +- [EU Artificial Intelligence Act](https://www.europarl.europa.eu/news/en/headlines/society/20230601STO93804/eu-ai-act-first-regulation-on-artificial-intelligence), European Parliament + +#### Other recommended reading + +- Our [Tactics](/tactics) and [Techniques](/techniques) pages list the methodologies adversaries use to infiltrate and/or compromise vulnerable AI systems. Our [Matrix](/matrices/ATLAS) organizes these potential vulnerabilities graphically and chronologically for easier visual understanding, and our [Mitigations](/mitigations) page contains information how to protect your systems against them. +- For examples of what these system attacks look like “in the wild”, check out our growing list of [Case Studies](/studies). We also have a publicly available [database of vulnerabilities found in common models](https://airisk.io). +- Have suggestions on how we can make ATLAS more relevant to you and your organization? [Contact us via Slack, LinkedIn, Email, or Github](/resources/contact). We also welcome case study contributions through our interactive [Case Study Builder tool](/studies/create). diff --git a/public/content/aisec101/ai-enabled-system.png b/public/content/aisec101/ai-enabled-system.png new file mode 100644 index 0000000000000000000000000000000000000000..f7e9e484667fd802cb19719156a51355079aa4d3 GIT binary patch literal 323806 zcmeFZXIxWjw>?UiB7%yAE}|e^x^xr;k=~_7MFOF!bV3M-iiM&eU7GYRgkBO60VyH0 z5JE{nO6Z}55(wPv^FQyod!M`C`{C~U@%=zpBw6dXp83o<=9pv7#XD1DJ$6wsrEEVmW%gYRA?F?DR?)hSick*=f2O6*`FM_rC8`SLQ@j-F2@PJdl$RY@$h`O;q10c zF^z(AAFBUC-jiUru*(wq!&-dAXEr;bAn_?99=ZImDbk#lHXPJ!4HR ztF~M)w`_IRE&H@?zy?&H>!hyC@Zcf4h3CM~)7ziM`hN7UI(2^GWHg8`d>vEu@YXr4 zAE2%56xoYU4@F|DJ`yi|eVDEy z73#veGbZOZxem66zRq^uvf)$niiXL5z0>I&dLb-T-Fy&n|J_u6 ztetr;Z%8;56({>li1o?0wl~i*SMd8_dEjdcFjbHw$SmV2-63GBJJ(=?>fWY5pS=aOmIJ!mc8bV7h@G(BUsiWk`C zswd6x8@_aOrnebWvKd1jF)Tca@h6;KpJqSiJpGuHo#iGQ!$&6DE0Mw9n3Hs9x!Rb< z=v=@nMz_?ANfdMluQq!)p_(~v%g|b1*be2I#$nRBzn-KXe%ahk*!hAo^ 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zW0~8g$J1x7OP!lmI#1c~?8hH_PRqx6x?Ve$yiwH9V%D5huWY`qI_IT**YjqiN^jRo z8&J!Y!t7@Me_(EZpxEIQ`g>G6O3Gno2DJ@8|G2>Dz`50vWra#gbDyJa;lX3o5BiUF z>&kA8w!1g~1AEzI&)v3Hzm(m2y>`#HpWO~kD29+5r~CtUBJ^k~ph^Ui8}T&M$3I{P NoQ[1] + + MITRE ATLAS™ tactics represent new adversary goals particular to artificial intelligence systems, as well as tactics adapted from the MITRE ATT&CK® Enterprise Matrix. + In those cases, ATT&CK tactic definitions are stretched to include ML concepts. +techniques: | + Techniques describe the means by which adversaries achieve tactical goals. They represent “how” an adversary achieves a tactical objective by performing an action. + For example, an adversary may gain initial access by compromising the machine learning (ML) supply chain. + + Techniques may also represent “what” an adversary gains by performing an action. This is a useful distinction for the ML Attack Staging tactic, + where the adversary is typically creating or modifying an ML artifact that will be used in a subsequent tactical objective. + There can be multiple techniques in each tactic category as there are many ways to achieve tactical objectives. + [1] +mitigations: | + Mitigations represent security concepts and classes of technologies that can be used to prevent a technique or sub-technique from being successfully executed. diff --git a/public/content/descriptions/ML-lifecycle.yaml b/public/content/descriptions/ML-lifecycle.yaml new file mode 100644 index 00000000..1299f6f7 --- /dev/null +++ b/public/content/descriptions/ML-lifecycle.yaml @@ -0,0 +1,15 @@ +ML-lifecycle: +- name: Business and Data Understanding + description: | + Defining the scope and requirements of the project and collecting data +- name: Data Preparation + description: | + Data cleaning, data augmentation, and developing a robust data pipeline +- name: ML Model Engineering + description: Defining quality measures, selecting a model architecture, and training a model +- name: ML Model Evaluation + description: Increasing model explainability and ensuring that the developed model complies with project needs and satisfies risk and safety constraints +- name: Deployment + description: Setting up production environment and productionizing the validated ML model +- name: Monitoring and Maintenance + description: Continually evaluating the deployed model to ensure it continues to fulfill quality assurance measures diff --git a/public/content/descriptions/categories.yaml b/public/content/descriptions/categories.yaml new file mode 100644 index 00000000..43f6975e --- /dev/null +++ b/public/content/descriptions/categories.yaml @@ -0,0 +1,7 @@ +categories: +- name: Technical - ML + description: Relating to ML-specific hardware, software, and technological systems implented to mitigate adversarial threats. +- name: Technical - Cyber + description: Relating to cyber-specific hardware, software, and technological systems implemented to mitigate adversarial threats. +- name: Policy + description: Relating to procedures and processes that govern how tools are used, maintained, and deployed diff --git a/public/content/events.yaml b/public/content/events.yaml new file mode 100644 index 00000000..0c98d24e --- /dev/null +++ b/public/content/events.yaml @@ -0,0 +1,204 @@ +data: + - name: RSA + date: 2021-05-17 + location: Virtual + description: | + MITRE and Microsoft facilitated the [ATT&CK® for Adversarial Machine Learning: Tacky or Tasty?](https://www.rsaconference.com/library/Presentation/USA/2021/attck-for-adversarial-machine-learning-tacky-or-tasty) session. + url: https://www.rsaconference.com/events/2021-usa + color: red + - name: WACV + date: 2022-01-04 + location: Waikoloa, HI + description: | + MITRE ATLAS hosted a booth at the Workshop on Applications of Computer Vision. + url: https://wacv2022.thecvf.com/ + color: blue + - name: NAML + date: 2022-03-22 + location: Virtual + description: ATLAS & AI security were presented at the Naval Applications of Machine Learning virtual conference in March! + url: https://sites.google.com/go.spawar.navy.mil/naml/agenda + color: cyan + - name: Purple Hats + date: 2022-04-21 + location: Virtual + description: We presented on ATLAS & AI security at ATTACK IQ's Purple Hats virtual conference in April + url: https://www.purplehats.org/2022 + color: deep-purple + - name: RSA + date: 2022-06-06 + location: San Francisco, CA + description: | + MITRE, Microsoft, Google, and Meta/Facebook talked about AI Red Teaming, Security, and ATLAS at the RSA conference in-person in San Francisco in June! + + Our ATLAS team was present at the MITRE booth all week. + url: https://www.rsaconference.com/usa + color: red + - name: ADSTAR + date: 2022-07-20 + location: Sydney, Australia / Virtual + description: | + The Australian Defence Science, Technology and Research Summit (ADSTAR) is taking place from July 20 - 22. + This conference brings together industry, academia, and government to collaborate and share defense-related research and innovation. + + The ATLAS team was present at the MITRE booth! + url: https://www.adstarsummit.com.au/event/3ea1388a-66ec-4605-b5a7-1c53931b9341/summary + color: orange + - name: MLMAC + date: 2022-08-12 + location: Virtual + description: | + The ML Model Attribution Challenge (MLMAC) is a four-week event from August 12th to September 9th (AoE). + + MLMAC challenges contestants to develop creative technical solutions for large language model attribution. This competition works toward AI assurance by developing forensic capabilities and establishing the difficulty of model attribution in natural language processing, and could contribute to the maturation of AI forensics as a subfield of AI security. + url: https://mlmac.io + color: deep-purple + - name: AIPR + date: 2022-10-11 + location: Washington, DC + description: | + IEEE International Conference on AI and Pattern Recognition (AIPR) - MITRE helped organize and participate in the 51st annual AIPR workshop to continue pioneering new topics in applied image and visual understanding including topics around assured AI, explainable AI, and secure intelligent systems. + url: https://sites.google.com/aipr-workshop.org/aipr + color: yellow-darken-1 + - name: CAMLIS + date: 2022-10-20 + location: Arlington, VA + description: | + Conference on Applied Machine Learning (CAMLIS) - MITRE participated in this single track conference with presentations, posters, and tutorials on ML techniques and information security problems + url: https://www.camlis.org/ + color: blue + - name: 15th ACM Workshop on Artificial Intelligence and Security (AISec) + date: 2022-11-11 + description: | + Launching the second round of the Machine Learning Model Attribution Challenge (MLMAC). + location: Los Angeles, CA / Virtual + url: https://aisec.cc/ + color: red + - name: AAAI Fall Symposium "The Role of AI in Responding to Climate Challenges" + date: 2022-11-17 + location: Arlington, VA + description: | + Join us from November 17-19 for an action-packed program including keynotes, expert panels, contributed talks, and participatory discussions on how to best move the field of AI & climate change forward. + url: https://aaai.org/Symposia/Fall/fss22.php + color: blue-grey + - name: WACV + date: 2023-01-04 + location: Waikoloa, HI + description: | + IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) is the premier international computer vision event comprising the main conference and several co-located workshops and tutorials. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers. + url: https://wacv2023.thecvf.com/home + color: light-blue + - name: IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) + date: 2023-02-08 + location: Raleigh, NC + description: | + This conference will expand on the theoretical and practical understandings of vulnerabilities inherent to ML systems, explore the robustness of ML algorithms and systems, and aid in developing a unified, coherent scientific community which aims to build trustworthy ML systems. Results from the first round of the Machine Learning Model Attribution Challenge (MLMAC) will be announced. + url: https://satml.org/ + color: orange + - name: Responsible AI in Military Global Summit + date: 2023-02-15 + location: The Hague, Netherlands + description: | + The government of the Netherlands is hosting the first global Summit on Responsible Artificial Intelligence in the Military Domain (REAIM) on February 15 and 16 2023. REAIM 2023 will be a platform for all stakeholders to discuss the key opportunities, challenges and risks associated with military applications of AI. The MITRE ATLAS team will be showcasing ATLAS as part of the REIAM Innovation Hub events as well as engaging with other stakeholders around the world. + url: https://www.government.nl/ministries/ministry-of-foreign-affairs/events/reaim + color: blue + - name: MITRE Cybersecurity Days 2023 + date: 2023-03-28 + location: Virtual + description: | + MITRE Cybersecurity Days is being held from March 28 to 30, 2023. This event showcases virtual technical presentations by MITRE cyber experts to discuss ways to address current and emerging technical cybersecurity trends and challenges, innovative approaches to meeting government needs and solving problems for a safer world, and future research directions. + url: \# + color: blue + - name: WiCyS Conference + date: 2023-03-16 + location: Denver, CO + description: | + The WiCyS conference is the premier event to RECRUIT, RETAIN and ADVANCE women in cybersecurity. WiCyS brings together women in cybersecurity from academia, research, government, and industry. MITRE women will be giving a presentation on "Introduction to AI Red Teaming" during the event, which runs from March 16 to 18, 2023. + url: https://www.wicys.org/events/wicys-2023/ + color: light-green + - name: RSA + date: 2023-04-24 + location: San Francisco, CA + description: > + Join MITRE ATLAS' Dr. Christina Liaghati at RSA at a panel session on "Hardening AI/ML Systems - The Next Frontier of Cybersecurity" on April 24th. + + + As industries increasingly depend on AI/ML-enabled systems, they also introduce new attack surfaces and vulnerabilities. Failure to adequately harden AI/ML to adversarial machine learning attacks will inevitably lead to disruptions and destruction to networks and cyber-physical infrastructure. This panel will explore the importance of integrating resilience and assurance into AI/ML capabilities. + url: https://www.rsaconference.com/usa/agenda/session/Hardening%20AIML%20Systems%20-%20The%20Next%20Frontier%20of%20Cybersecurity + color: red + - name: Days of Shecurity + date: 2023-05-19 + location: San Francisco, CA & Virtual + description: Days of Shecurity is a free-to-attend interactive conference for women in technology interested in cybersecurity. Join two of MITRE's AI researchers for their session "Introduction to AI Red Teaming" on May 19th in San Francisco. + url: https://www.dayofshecurity.com/may-2023 + color: purple + - name: AFCEA DC Tech Summit + date: 2023-04-11 + location: Washington, DC + description: > + Join MITRE ATLAS' Dr. Christina Liaghati at AFCEA DC for their annual event, which is expected + to convene 250-300 senior-level government and IT professionals (e.g. SES, Flag Officers, Directors, CIOs, C-level executives, Program and Project Managers). Dr. Liaghati will be speaking on the panel "The AI Advantage" with representatives from the U.S. Army and Department of Defense." + url: https://afceadc.swoogo.com/techsummit23 + color: green + - name: '"AI Risky Business: Hands-on AI Payload Analysis" @ Black Hat 2023' + date: 2023-08-09 + location: Las Vegas, NV & Virtual + description: > + From June 8-10, The Global Resilience Federation (GRF) Summit on AI Security & Trust will address concerns across sectors with content tailored for executives such as CIOs, CISOs and AI/ML experts to engage on effective approaches for managing security and trust in Artificial Intelligence and Machine Learning models. + url: https://www.grf.org/ai-security-2023 + color: indigo + - name: "FutureIT: AI, Data and Tech Leadership" + date: 2023-11-08 + location: New York, NY + description: Join the ATLAS team at FutureIT New York to talk about ATLAS and AI threat awareness. + url: https://events.ciofutureit.com/event/new-york/ + color: light-green + - name: HITCON 2023 + date: 2023-11-15 + location: Taipei, Taiwan + description: > + Hacks in Taiwan Conference (HITCON) is technology-orientated cybersecurity conference. + ATLAS will present on AI threat awareness. + url: https://cfp2023.hitcon.org/en/ + color: + + - name: "Advantage DoD 2024: Defense Data & AI Symposium" + date: 2024-02-20 + location: Washington, DC + description: > + Feb 20-22: This event, hosted by the Chief Digital and AI Office (CDAO) invites key data leaders and developers from government, industry, and academia to join together and discuss and build the future of cutting-edge data, analytics, and AI - guiding the enablement of the U.S. military's enduring decision advantage. + url: https://www.ncsi.com/event/cdao/ + color: indigo + - name: Days of Shecurity 2024 + date: 2024-04-25 + location: San Francisco, CA & Virtual + description: | + Day of Shecurity is a free-to-attend interactive one-day conference that originally launched in 2017 in San Francisco for women in technology interested in cybersecurity. Day of Shecurity launched in Boston in 2019 and held a virtual, location-agnostic conferences in 2021. The event is an effort by Secure Diversity, the Lookout Foundation, Day of Shecurity Core Team, and various organizations that believe that diversity & inclusion matter in our industry. + url: https://www.dayofshecurity.com/ + color: purple + - name: RSA Conference 2024 + date: 2024-05-06 + location: San Francisco, CA + # description: | + # May 6-9: In an ever-changing cybersecurity world, innovation and creativity are key. Join RSAC 2024 and discover The Art of Possible as we collectively create works that will change our perspective on what we can accomplish. Let's celebrate limitless opportunities, challenge the status quo, and explore new horizons together. + description: > + Join RSAC 2024 and celebrate limitless opportunities, challenge the status quo, and explore new horizons together. + url: https://www.rsaconference.com/usa + color: red + imageSrc: rsa.jpg + - name: Black Hat USA 2024 + date: 2024-08-03 + location: Las Vegas, NV + description: > + BlackHat is an internationally recognized cybersecurity event series providing the most technical and relevant information security research. + url: https://www.blackhat.com/ + color: grey + imageSrc: blackhat.jpg + - name: DEF CON 2024 + date: 2024-08-08 + location: Las Vegas, NV + description: > + DEF CON is a hacker convention which takes place immediately following Black Hat in Las Vegas every year. + url: https://defcon.org/ + color: blue + imageSrc: defcon.jpg \ No newline at end of file diff --git a/public/content/faq-files/case-study-terms.md b/public/content/faq-files/case-study-terms.md new file mode 100644 index 00000000..1613d20b --- /dev/null +++ b/public/content/faq-files/case-study-terms.md @@ -0,0 +1,24 @@ +--- +title: Case Study Terminology +weight: 2 +--- + +###### What is an incident date? + +The time frame as to when the incident or exercise discussed in the case study occurred. + +###### What is an actor? + +The group that performed this operation. This could be a threat group or bad actor responsible for the incident, the researchers, AI red team, or security group that performed the demonstration. + +###### What is a reporter? + +The group that identified and reported this incident or exercise. In the case of an exercise, this may be the Actor. + +###### What is a target? + +The victim system or organization targeted by the Actor. + +###### What is a case study type? + +Whether this case study describes a real-world incident or exercise under a realistic threat model and representative Target system. diff --git a/public/content/faq-files/contact.md b/public/content/faq-files/contact.md new file mode 100644 index 00000000..d9f18ec2 --- /dev/null +++ b/public/content/faq-files/contact.md @@ -0,0 +1,8 @@ +--- +title: Staying Informed +weight: 10 +--- + +###### How do I stay up to date with what's happening with ATLAS? + +Keep up to date using the resources in our [contact page](/resources/contact). \ No newline at end of file diff --git a/public/content/faq-files/general.md b/public/content/faq-files/general.md new file mode 100644 index 00000000..decc0061 --- /dev/null +++ b/public/content/faq-files/general.md @@ -0,0 +1,25 @@ +--- +title: General +weight: 1 +--- + +###### What is a tactic? + +Tactics are tactical adversary goals during an attack. They represent the “why” of a technique: the reason for performing an action. +Tactics serve as useful contextual categories for individual techniques and cover standard notations for things adversaries do during an operation. +[\[1\]][1] MITRE ATLAS™ tactics represent new adversary goals particular to artificial intelligence systems, as well as tactics adapted from the MITRE ATT&CK® Enterprise Matrix. +In those cases, ATT&CK tactic definitions are stretched to include ML concepts. + +###### What is a technique? + +Techniques describe the means by which adversaries achieve tactical goals. They represent "how" an adversary achieves a tactical objective by performing an action. +For example, an adversary may gain initial access by compromising the machine learning (ML) supply chain. Techniques may also represent “what” an adversary gains by performing an action. This is a useful distinction for the ML Attack Staging tactic, +where the adversary is typically creating or modifying an ML artifact that will be used in a subsequent tactical objective. +There can be multiple techniques in each tactic category as there are many ways to achieve tactical objectives.[\[1\]][1] + +###### What is the ATLAS Navigator? + +The MITRE ATLAS™ version of the ATT&CK Navigator displays ATLAS techniques and allows users to create and view complex visualizations. In addition to the matrix, the Navigator also shows a frequency heat map of techniques used in ATLAS case studies. + + + [1]: https://attack.mitre.org/docs/ATTACK_Design_and_Philosophy_March_2020.pdf "MITRE ATT&CK: Design and Philosophy" diff --git a/public/content/faq-files/mitigation-terms.md b/public/content/faq-files/mitigation-terms.md new file mode 100644 index 00000000..096d3c05 --- /dev/null +++ b/public/content/faq-files/mitigation-terms.md @@ -0,0 +1,17 @@ +--- +title: Mitigation Terminology +weight: 3 +--- + +###### What are the ML lifecycle stages? + +The machine learning lifecycle, adapted from [Crisp-ML(Q)](https://ml-ops.org/content/crisp-ml), consists of the following stages: + +| Name | Description | +|---|---| +| Business and Data Understanding | Defining the scope and requirements of the project and collecting data | +| Data Preparation | Data cleaning, data augmentation, and developing a robust data pipeline | +| ML Model Engineering | Defining quality measures, selecting a model architecture, and training a model | +| ML Model Evaluation | Increasing model explainability and ensuring that the developed model complies with project needs and satisfies risk and safety constraints | +| Deployment | Setting up production environment and productionizing the validated ML model | +| Monitoring and Maintenance | Continually evaluating the deployed model to ensure it continues to fulfill quality assurance measures | diff --git a/public/content/update-files/2021-06.md b/public/content/update-files/2021-06.md new file mode 100644 index 00000000..a69172f7 --- /dev/null +++ b/public/content/update-files/2021-06.md @@ -0,0 +1,12 @@ +#### June 2021 + +##### Website v2.0.0 - 2.1.3 + +Official launch of https://atlas.mitre.org, allowing users to browse the ATLAS matrix and initial set of case studies. + + + + +##### Data v2.0.0 + +This version of ATLAS data contains 16 tactics, 30 techniques, 27 sub-techniques, and 13 case studies. 14 of the tactics and several techniques used in case studies were imported from MITRE ATT&CK® Enterprise v9. diff --git a/public/content/update-files/2021-07.md b/public/content/update-files/2021-07.md new file mode 100644 index 00000000..1afe364a --- /dev/null +++ b/public/content/update-files/2021-07.md @@ -0,0 +1,10 @@ +#### July 2021 + + +##### Website v2.2.0 - 2.2.2 + +ATLAS Navigator layers are available for case studies, highlighting techniques used in each procedure. See the "ATLAS Navigator layer" button on the case study pages for to view and download the layer files. + +##### Data v2.0.1 + +This version of ATLAS data contains 16 tactics, 30 techniques, 27 sub-techniques, and 13 case studies. 14 of the tactics and several techniques used in case studies were imported from MITRE ATT&CK® Enterprise v9. diff --git a/public/content/update-files/2021-10.md b/public/content/update-files/2021-10.md new file mode 100644 index 00000000..9a136f8e --- /dev/null +++ b/public/content/update-files/2021-10.md @@ -0,0 +1,15 @@ +#### October 2021 + + +##### Website v2.3.0 - 2.3.2 + +Technique pages display examples of how techniques have been used in case studies, drawn from procedure steps. + + +##### Data v2.2.0 + +This version of ATLAS data contains 16 tactics, 30 techniques, 27 sub-techniques, and 15 case studies. 14 of the tactics and several techniques used in case studies were imported from MITRE ATT&CK® Enterprise v9. + +New case studies: +- [Backdoor Attack on Deep Learning Models in Mobile Apps](https://atlas.mitre.org/studies/AML.CS0013) +- [Confusing Antimalware Neural Networks](https://atlas.mitre.org/studies/AML.CS0014) diff --git a/public/content/update-files/2022-03.md b/public/content/update-files/2022-03.md new file mode 100644 index 00000000..eb85ab4a --- /dev/null +++ b/public/content/update-files/2022-03.md @@ -0,0 +1,35 @@ +#### March 2022 + + +##### Website v3.0.0 + +This website update adds new functionality in the form of the Case Study Builder. The builder can be used to craft submission files for new case studies with details and technique mappings. + +The [Case Study Builder](https://atlas.mitre.org/studies/create) can be found in the “Build Case Study” subsection located under the “Case Study” tab in the navigation menu. + + + + +###### How to Use the Case Study Builder: + +1. Fill out the form. +2. Download the generated case study .yaml file (and PowerPoint .pptx version if selected). +3. Email the case study file to atlas@mitre.org + +To view or edit an existing case study, click the "Load Case Study" button and upload the .yaml file. Make any necessary adjustments, then re-download the file. The ATLAS team will review the submission and follow up with feedback. + + +###### Case Study Considerations: + +1. The attack exploits one or more vulnerabilities that compromise the confidentiality, integrity, or availability of an AI system. +2. The attack is against a production/commercial AI system. This can be on MLaaS or AI systems embedded in clients/at the edge. +3. Ensure you have permission to share this information and/or publish this research. Please follow the proper channels before reporting a new attack and make sure you are practicing responsible disclosure. + +We are especially excited for new case-studies! We look forward to contributions from both industry and academic researchers. + + +##### Data v3.0.0 + +This version of ATLAS data contains 12 tactics, 36 techniques, 27 sub-techniques, and 15 case studies. + +Prior usage of MITRE ATT&CK® Enterprise tactics and techniques have been adapted into the ATLAS framework, with ATLAS IDs and updated machine learning-specific descriptions. diff --git a/public/content/update-files/2022-07.md b/public/content/update-files/2022-07.md new file mode 100644 index 00000000..dbef576a --- /dev/null +++ b/public/content/update-files/2022-07.md @@ -0,0 +1,35 @@ +#### July 2022 + + +##### Website v3.1.0 + +This website update adds new functionality to support display of multiple matrices and custom object types, as well as string properties in data objects. + +Usability improvements include wider availability of navigation breadcrumbs, matrix item hierarchies in side navigation bars, and data object hover previews, as well as better support for small screens. Additional updates for case study builder validation, upcoming events, and various fixes. + + +##### Data v3.1.0 - 4.0.0 + +This version of ATLAS data contains 1 matrix, 12 tactics, 36 techniques, 27 sub-techniques, and 15 case studies. + +New features include support for custom data object types and IDs, as well as multiple matrices. + +There is a new top level key in the output YAML for `matrices`, and the updated format is as follows: + ```yaml + id: ATLAS + name: Adversarial Threat Landscape for AI Systems + version: Version number for this data release + + matrices: List of matrix data + - id: ATLAS + name: ATLAS Machine Learning Threat Matrix + tactics: List of tactics objects + techniques: List of technique and subtechnique objects + + case-studies: List of case study objects + ``` + + +##### Navigator Data v1.1.0 + +Supports output of multiple matrices and collections for ATT&CK Workbench compatibility. diff --git a/public/content/update-files/2022-10.md b/public/content/update-files/2022-10.md new file mode 100644 index 00000000..bea27b02 --- /dev/null +++ b/public/content/update-files/2022-10.md @@ -0,0 +1,42 @@ +#### October 2022 + + +##### Website v3.2.0 + +This website update refreshes existing case studies and shows updated tactic and technique descriptions. + +New fields have been added to case studies: case study type, reporter, target, and actor. See the new [FAQ](/resources/faq) for definitions. Additional updates were also added for case study builder validation and various bug fixes. + + +##### Data v4.1.0 + +This version of ATLAS data contains 1 matrix, 12 tactics, 37 techniques, 27 sub-techniques, and 15 case studies. + +New technique: [System Misuse for External Effect](/techniques/AML.T0048) + +Updated descriptions and content for tactics, techniques, and case studies. + +The case study YAML format has been updated to support the new case study version, with the added fields: case study type, reporter, target, and actor. The update format is as follows: + + ```yaml + study: + name: Name + summary: Summary + incident-date: 2017-08-01 + incident-date-granularity: DATE + procedure: + - tactic: AML.TA0005 + technique: AML.T0011 + description: Description + reporter: Reporter + actor: Actor + target: Target + case-study-type: incident + references: [] + ``` + *Note that the reporter field is only required if the case study type is "incident", otherwise it can be omitted* + + +##### Navigator Data v1.2.0 + +Updated ATLAS STIX and Navigator layer files for the added technique and refreshed case studies in ATLAS Data v4.1.0. diff --git a/public/content/update-files/2023-01.md b/public/content/update-files/2023-01.md new file mode 100644 index 00000000..021417eb --- /dev/null +++ b/public/content/update-files/2023-01.md @@ -0,0 +1,21 @@ +#### January 2023 + + +##### Website v3.3.0 + +This website update indicates when ATLAS tactics and techniques have been adapted from ATT&CK, displaying a red `&` in the matrix and list views and linking to the ATT&CK website on individual tactic and technique pages. Additional updates for [upcoming events](/resources/contact) and various bug fixes. + + +##### Data v4.2.0 + +This version of ATLAS data contains 1 matrix, 12 tactics, 38 techniques, 27 sub-techniques, and 16 case studies. + +- New technique: [Data from Local System](/techniques/AML.T0037) +- New case study: [Compromised PyTorch Dependency Chain](/studies/AML.CS0015) + + +##### Navigator Data v1.3.0 + +The ATLAS STIX now also includes ATT&CK Enterprise v12 for comparison purposes. Any ATLAS techniques adapted from ATT&CK are additionally denoted with "(ATLAS)" to distinguish the names. + +Updated ATLAS STIX and Navigator layer files for the added technique and new case study in ATLAS Data v4.2.0. diff --git a/public/content/update-files/2023-02.md b/public/content/update-files/2023-02.md new file mode 100644 index 00000000..702528aa --- /dev/null +++ b/public/content/update-files/2023-02.md @@ -0,0 +1,21 @@ +#### February 2023 + + +##### Website v3.4.0 + +This website update displays the new case study and additional techniques. + + +##### Data v4.3.0 + +This version of ATLAS data contains 1 matrix, 12 tactics, 40 techniques, 27 sub-techniques, and 17 case studies. + +- New techniques + + [Exploit Public-Facing Application](/techniques/AML.T0049) + + [Command and Scripting Interpreter](/techniques/AML.T0050) +- New case study: [Achieving Code Execution in MathGPT via Prompt Injection](/studies/AML.CS0016) + + +##### Navigator Data v1.4.0 + +Updated ATLAS STIX and Navigator layer files for the added techniques and new case study in ATLAS Data v4.3.0. diff --git a/public/content/update-files/2023-04.md b/public/content/update-files/2023-04.md new file mode 100644 index 00000000..b4aadca6 --- /dev/null +++ b/public/content/update-files/2023-04.md @@ -0,0 +1,11 @@ +#### April 2023 + + +##### Website v3.5.0 + +This website update includes initial mitigations. + + +##### Data v4.4.0 + +This version of ATLAS data contains 1 matrix, 12 tactics, 40 techniques, 27 sub-techniques, 19 mitigations, and 17 case studies. diff --git a/public/content/update-files/2023-10.md b/public/content/update-files/2023-10.md new file mode 100644 index 00000000..1cf69872 --- /dev/null +++ b/public/content/update-files/2023-10.md @@ -0,0 +1,55 @@ +#### October 2023 + +New large language model (LLM) content and updated mitigations. + + +##### Website v3.6.0 + +This website update includes updated mitigations and new tactics, techniques, and case studies inspired by large language models (LLMs). + + +##### Data v4.5.0 + +This version of ATLAS data contains 1 matrix, 14 tactics, 46 techniques, 36 sub-techniques, 19 mitigations, and 22 case studies. + +###### Tactics and techniques +- Added new tactics + + [Privilege Escalation](https://atlas.mitre.org/tactics/AML.TA0012) + + [Credential Access](https://atlas.mitre.org/tactics/AML.TA0013) + +- Added new techniques + + [Develop Capabilities](https://atlas.mitre.org/techniques/AML.T0017) + + [Develop Capabilities: Adversarial ML Attacks](https://atlas.mitre.org/techniques/AML.T0017.000) + - Previously known as "Develop Adversarial ML Attack Capabilities" + + [LLM Prompt Injection](https://atlas.mitre.org/techniques/AML.T0051) + + [LLM Prompt Injection: Direct](https://atlas.mitre.org/techniques/AML.T0051.000) + + [LLM Prompt Injection: Indirect](https://atlas.mitre.org/techniques/AML.T0051.001) + + [Phishing](https://atlas.mitre.org/techniques/AML.T0052) + + [Phishing: Spearphishing via Social Engineering LLM](https://atlas.mitre.org/techniques/AML.T0052.000) + + [Compromise LLM Plugins](https://atlas.mitre.org/techniques/AML.T0053) + + [LLM Jailbreak](https://atlas.mitre.org/techniques/AML.T0054) + + [Unsecured Credentials](https://atlas.mitre.org/techniques/AML.T0055) + + [LLM Meta Prompt Extraction](https://atlas.mitre.org/techniques/AML.T0056) + + [LLM Data Leakage](https://atlas.mitre.org/techniques/AML.T0057) + + [External Harms](https://atlas.mitre.org/techniques/AML.T0048) + - Previously this technique ID was known as "System Misuse for External Effect" + + [External Harms: Financial Harm](https://atlas.mitre.org/techniques/AML.T0048.000) + + [External Harms: Reputational Harm](https://atlas.mitre.org/techniques/AML.T0048.001) + + [External Harms: Societal Harm](https://atlas.mitre.org/techniques/AML.T0048.002) + + [External Harms: User Harm](https://atlas.mitre.org/techniques/AML.T0048.003) + + [External Harms: ML Intellectual Property Theft](https://atlas.mitre.org/techniques/AML.T0048.004) + - Previously was a top-level technique "ML Intellectual Property Theft", note the ID change + +###### Case studies +- Added new case studies + + [Bypassing ID.me Identity Verification](https://atlas.mitre.org/studies/AML.CS0017) + + [Arbitrary Code Execution with Google Colab](https://atlas.mitre.org/studies/AML.CS0018) + + [PoisonGPT](https://atlas.mitre.org/studies/AML.CS0019) + + [Indirect Prompt Injection Threats: Bing Chat Data Pirate](https://atlas.mitre.org/studies/AML.CS0020) + + [ChatGPT Plugin Privacy Leak](https://atlas.mitre.org/studies/AML.CS0021) + +- Refreshed existing case studies with LLM techniques + + [Achieving Code Execution in MathGPT via Prompt Injection](https://atlas.mitre.org/studies/AML.CS0016) + +###### Mitigations +Added machine learning lifecycle stages and new categories to mitigations \ No newline at end of file diff --git a/public/content/update-files/2024-01.md b/public/content/update-files/2024-01.md new file mode 100644 index 00000000..d0fd3416 --- /dev/null +++ b/public/content/update-files/2024-01.md @@ -0,0 +1,22 @@ +#### January 2024 + + +##### Website v3.6.1 + +This website update includes a [new ATLAS fact sheet](https:/atlas.mitre.org/pdf-files/MITRE_ATLAS_Fact_Sheet.pdf), an updated events list and LinkedIn page, as well as mitigations updates below and updated STIX and Excel representations. + + +##### Data v4.5.1 + +This version of ATLAS data contains 1 matrix, 14 tactics, 46 techniques, 36 sub-techniques, 20 mitigations, and 22 case studies. + +###### Mitigations + +- Added new mitigation + + [Control Access to ML Models and Data in Production](https://atlas.mitre.org/mitigations/AML.M0019) +- Minor updates to mitigation descriptions and techniques used + + +##### Navigator Data v1.6.1 + +Updated ATLAS STIX with ATT&CK Enterprise v14.1. diff --git a/public/content/update-files/2024-03.md b/public/content/update-files/2024-03.md 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