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CVE-2025-69222VulnerabilityPublished

CVE-2025-69222: danny-avila LibreChat · Server-Side Request Forgery (SSRF)

Affects danny-avila LibreChatSource CVE Database V5

0

Not known to be exploited · CVSS 9.1 Critical · fixed in 0.8.1 : patch danny-avila LibreChat as a priority.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
9.1Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
4.5% chance of exploitation in 30 days – higher than 91% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.8.1
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:L/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 7 Jan 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
danny-avilaLibreChatAffected
  • =>= 0.8.1-rc2, 0.8.2-rc2
Fixed in–

AI-suggested

To mitigate this vulnerability, organizations should immediately upgrade LibreChat to versions later than 0.8.2-rc2 where the issue is fixed. Beyond patching, it is critical to implement strict network segmentation to isolate internal APIs like the RAG API from agents and external-facing components. Configure the Actions feature to whitelist only trusted external services and restrict HTTP methods and headers to the minimum necessary. Employ robust authentication and authorization controls on all internal APIs to prevent unauthorized access even if SSRF attempts occur. Monitor network traffic for unusual internal requests originating from LibreChat agents. Conduct regular security audits and penetration tests focusing on SSRF and internal service exposure. Additionally, consider deploying Web Application Firewalls (WAFs) with SSRF detection capabilities and enforce least privilege principles for users configuring agents. Finally, educate developers and administrators about secure configuration practices for AI platforms and the risks of SSRF.

Description

LibreChat is a ChatGPT clone with additional features. Version 0.8.1-rc2 is prone to a server-side request forgery (SSRF) vulnerability due to missing restrictions of the Actions feature in the default configuration. LibreChat enables users to configure agents with predefined instructions and actions that can interact with remote services via OpenAPI specifications, supporting various HTTP methods, parameters, and authentication methods including custom headers. By default, there are no restrictions on accessible services, which means agents can also access internal components like the RAG API included in the default Docker Compose setup. This issue is fixed in version 0.8.1-rc2.

References

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