Security Resilience

CVE-2024-12580

Librechat ≤ 0.7.6

Public PoC
Published
20 March 2025
Modified
14 July 2025
Patch / advisory
View advisory
CVSS Score v3.1 5.3
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
EPSS Score 0.0051 42th percentile
Risk Priority 45 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2024-12580 is a medium-severity Improper Output Neutralization for Logs (CWE-117) vulnerability in Librechat Librechat. Its CVSS base score is 5.3 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Data Obfuscation (T1001); ranked at the 42th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as LLM Application Platforms; in the Other ATLAS/OWASP Terms risk domain.

The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — see the control section below for these in your framework.

OWASP Top 10 for Web (2025)

A09:2025 Security Logging and Alerting Failures

EU & UK References

Vulnerability Data

A vulnerability in danny-avila/librechat prior to version 0.7.6 allows for logs debug injection. The parameters sessionId, fileId, userId, and file_id in the /code/download/:sessionId/:fileId and /download/:userId/:file_id APIs are not validated or filtered, leading to potential log injection attacks. This can cause…

more

distortion of monitoring and investigation information, evade detection from security systems, and create difficulties in maintenance and operation.

CWE(s)
CWE-117

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Matched keywords: librechat

Related Threats

MITRE ATT&CK Enterprise Techniques

T1001 Data Obfuscation Command And Control
Adversaries may obfuscate command and control traffic to make it more difficult to detect.
attack.mitre.org →
T1001.002 Steganography Command And Control
Adversaries may use steganographic techniques to hide command and control traffic to make detection efforts more difficult.
attack.mitre.org →
T1003.001 LSASS Memory Credential Access
Adversaries may attempt to access credential material stored in the process memory of the Local Security Authority Subsystem Service (LSASS).
attack.mitre.org →
T1003.003 NTDS Credential Access
Adversaries may attempt to access or create a copy of the Active Directory domain database in order to steal credential information, as well as obtain other information about domain members such as devices, users, and access rights.
attack.mitre.org →
T1003.005 Cached Domain Credentials Credential Access
Adversaries may attempt to access cached domain credentials used to allow authentication to occur in the event a domain controller is unavailable.
attack.mitre.org →
T1003.008 /etc/passwd and /etc/shadow Credential Access
Adversaries may attempt to dump the contents of <code>/etc/passwd</code> and <code>/etc/shadow</code> to enable offline password cracking.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2025-8848Same product: Librechat Librechat
CVE-2026-44653Same product: Librechat Librechat
CVE-2026-54024Same product: Librechat Librechat
CVE-2024-11171Same product: Librechat Librechat
CVE-2026-54037Same product: Librechat Librechat
CVE-2024-11170Same product: Librechat Librechat
CVE-2026-54025Same product: Librechat Librechat
CVE-2025-66452Same product: Librechat Librechat
CVE-2024-11173Same product: Librechat Librechat
CVE-2026-31949Same product: Librechat Librechat

Affected Assets

librechat
librechat
≤ 0.7.6

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

SA-11 Developer Testing and Evaluation good match

Developer testing and evaluation can discover missing or incorrect output neutralization when log messages are constructed from untrusted input.

SI-10 Information Input Validation partial match

Input validation reduces the chance that specially crafted data reaches log-message construction routines.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

PR.PS-06 partial match
blocks

Secure SDLC practices and coding standards directly require output sanitization for logs.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.8.15 Logging partial match
removes

A.8.15 records, protects, and analyzes logs but never mandates or performs output neutralization/escaping of external data written into log messages, so the first-party code defect named by CWE-117 remains present after the control is implemented

A.8.16 Monitoring activities partial match
finds

Monitoring activities rely on trustworthy logs but do not ensure log message integrity.

A.8.19 Installation of software on operational systems partial match
removes
A.8.25 Secure development life cycle partial match
blocks

Secure SDLC includes coding standards that reduce log-related weaknesses but does not specifically address logging.

A.8.26 Application security requirements partial match
removes
A.8.27 Secure system architecture and engineering principles partial match
removes

References