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CVE-2025-69221 danny-avila CVE debrief

CVE-2025-69221 is a medium-severity vulnerability in LibreChat, a ChatGPT clone with additional features. An authenticated attacker can read the permissions of arbitrary agents, even if they have no permissions for this agent, due to improper access control when querying agent permissions in version 0.8.1-rc2. This issue is fixed in version 0.8.2-rc2.

Vendor
danny-avila
Product
LibreChat
CVSS
MEDIUM 4.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-01-07
Original CVE updated
2026-09-30
Advisory published
2026-01-07
Advisory updated
2026-09-30

Who should care

Defenders responsible for LibreChat deployments, especially those using version 0.8.1-rc2, should assess exposure and prioritize patching to prevent potential exploitation. This includes verifying exposure of LibreChat deployments and assessing the impact of an authenticated attacker being able to read agent permissions. Additionally, defenders should review compensating controls for exposed systems while remediation is scheduled and verified.

Why it matters

CVE-2025-69221 is a medium-severity vulnerability in LibreChat that allows authenticated attackers to read agent permissions due to improper access control. Defenders should prioritize verifying exposure and patching to version 0.8.2-rc2.

  • An authenticated attacker can read agent permissions, potentially leading to unauthorized access to sensitive information.
  • Defenders need to verify exposure of LibreChat deployments and assess the impact of this vulnerability.
  • Patching to version 0.8.2-rc2 is necessary to fix the vulnerability.

Technical summary

The vulnerability exists in LibreChat version 0.8.1-rc2, where an authenticated attacker can read the permissions of arbitrary agents due to improper access control when querying agent permissions. This issue is fixed in version 0.8.2-rc2. The vulnerability allows an attacker to potentially access sensitive information. Defenders should prioritize verifying exposure of LibreChat deployments, especially those using version 0.8.1-rc2, and assess the impact of an authenticated attacker being able to read agent permissions.

Defensive priority

Defenders should prioritize verifying exposure of LibreChat deployments, especially those using version 0.8.1-rc2, and assess the impact of an authenticated attacker being able to read agent permissions.

Recommended defensive actions

  • Verify LibreChat deployments to determine if they are using vulnerable version 0.8.1-rc2.
  • Assess the impact of an authenticated attacker being able to read agent permissions.
  • Apply the patch in version 0.8.2-rc2 to fix the vulnerability.
  • Monitor for potential exploitation attempts.
  • Review compensating controls for exposed systems while remediation is scheduled and verified.
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review.
  • Track exceptions, retest remediated assets, and close the item only after evidence is documented.

Evidence notes

The CVE record and NVD entry provide details on the vulnerability, including its description, CVSS score, and affected version. The vendor has released a patch in version 0.8.2-rc2. Defenders should verify exposure of LibreChat deployments, especially those using version 0.8.1-rc2, and assess the impact of an authenticated attacker being able to read agent permissions. Evidence is limited to public CVE and NVD information. Additional verification tasks are recommended.

Sources and references

Verified primary and authoritative sources

  • CVE-2025-69221 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2025-69221

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2025-69221 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2025-69221

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.