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RustFS gRPC GetMetrics deserialization panic enables remote DoS

Moderate severity GitHub Reviewed Published Jan 7, 2026 in rustfs/rustfs • Updated Jan 7, 2026

Package

cargo rustfs (Rust)

Affected versions

>= 1.0.0-alpha.13, <= 1.0.0-alpha.77

Patched versions

1.0.0-alpha.78

Description

Summary

A malformed gRPC GetMetrics request causes get_metrics to unwrap() failed deserialization of metric_type/opts, panicking the handler thread and enabling remote denial of service of the metrics endpoint.

Details

  • Vulnerable code: rustfs/src/storage/tonic_service.rs:1775-1782:
    • MetricType and CollectMetricsOpts are deserialized with Deserialize::deserialize(...).unwrap() from client-supplied bytes.
    • Malformed metric_type/opts (e.g., empty or truncated rmp-serde payloads) trigger InvalidMarkerRead and panic.
  • Reachability: same TCP listener as S3 (default :9000); only a static interceptor token authorization: rustfs rpc is checked in server/http.rs:677.
  • Impact scope: panic terminates the worker handling the request, causing metrics service interruption and potential process instability.

PoC

rustfs-grpc-metrics-invalid-metric-type-panic-poc.tar.gz

  1. Start RustFS (example local dev):
mkdir -p /tmp/rustfs-data1 /tmp/rustfs-data2
RUSTFS_ACCESS_KEY=devadmin RUSTFS_SECRET_KEY=devadmin \
  cargo run --bin rustfs -- --address 0.0.0.0:9000 \
  /tmp/rustfs-data1 /tmp/rustfs-data2
  1. From rustfs-grpc-metrics-invalid-metric-type-panic-poc/, run:
ENDPOINT=127.0.0.1:9000 make run
# or: grpcurl -plaintext \
#   -H 'authorization: rustfs rpc' \
#   -import-path ../crates/protos/src -proto node.proto \
#   -d '{"metric_type":"","opts":""}' \
#   127.0.0.1:9000 node_service.NodeService/GetMetrics
  1. Observe panic in server logs at tonic_service.rs:get_metrics with InvalidMarkerRead and worker crash; client output saved to poc-response.txt/poc-grpcurl.log.

Impact

  • Vulnerability type: remote unauthenticated (static token) denial of service via panic in gRPC handler.
  • Who is impacted: any deployment exposing the gRPC endpoint where an attacker can reach port 9000 and supply the known authorization: rustfs rpc header; metrics service is disrupted and may affect overall stability depending on runtime crash handling.

References

@loverustfs loverustfs published to rustfs/rustfs Jan 7, 2026
Published to the GitHub Advisory Database Jan 7, 2026
Reviewed Jan 7, 2026
Published by the National Vulnerability Database Jan 7, 2026
Last updated Jan 7, 2026

Severity

Moderate

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 None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability Low
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:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:P

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(74th percentile)

Weaknesses

Improper Handling of Exceptional Conditions

The product does not handle or incorrectly handles an exceptional condition. Learn more on MITRE.

CVE ID

CVE-2025-69255

GHSA ID

GHSA-gw2x-q739-qhcr

Source code

Credits

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