Cyber Resilience

CVE-2024-2029

RCE in Mudler Localai ≤ 2.10.0

Published
10 April 2024
Modified
15 July 2025
Patch / advisory
CVSS Score v3 9.8
Click a component to see what it means
Raw vectorCVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.029 86th percentile
Risk Priority 76 floored blend · peak EPSS

Summary

CVE-2024-2029 is a critical-severity OS Command Injection (CWE-78) vulnerability in Mudler Localai. Its CVSS base score is 9.8 (Critical).

Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 14% of CVEs by exploit likelihood; 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)

EU & UK References

Vulnerability Data

A command injection vulnerability exists in the `TranscriptEndpoint` of mudler/localai, specifically within the `audioToWav` function used for converting audio files to WAV format for transcription. The vulnerability arises due to the lack of sanitization of user-supplied filenames before passing them…

more

to ffmpeg via a shell command, allowing an attacker to execute arbitrary commands on the host system. Successful exploitation could lead to unauthorized access, data breaches, or other detrimental impacts, depending on the privileges of the process executing the code.

CWE(s)

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
LocalAI is an open-source platform for local inference of AI models, including support for transcription via endpoints like TranscriptEndpoint, making it an AI platform affected by this vulnerability.

Related Threats

MITRE ATT&CK Enterprise Techniques

T1059 Command and Scripting Interpreter Execution
Adversaries may abuse command and script interpreters to execute commands, scripts, or binaries.
T1059.003 Windows Command Shell Execution
Adversaries may abuse the Windows command shell for execution.
T1059.004 Unix Shell Execution
Adversaries may abuse Unix shell commands and scripts for execution.
T1059.001 PowerShell Execution
Adversaries may abuse PowerShell commands and scripts for execution.
T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-5181Same product: Mudler Localai
CVE-2024-6983Same product: Mudler Localai
CVE-2024-5616Same product: Mudler Localai
CVE-2024-3135Same product: Mudler Localai
CVE-2024-9900Same product: Mudler Localai
CVE-2024-6868Same product: Mudler Localai
CVE-2024-7010Same product: Mudler Localai
CVE-2024-5182Same product: Mudler Localai
CVE-2024-6095Same product: Mudler Localai
CVE-2024-48057Same product: Mudler Localai

Affected Assets

mudler
localai
≤ 2.10.0

Mitigating Controls

Control response

Prevent
Stop it (NIST 800-53)

Detect
Catch it (NIST detect / respond)

Harden
Shrink the surface (DISA STIG)

Validate
Prove the fix (OWASP ASVS)
  • V1.2.5
  • V1.2.8
  • V15.2.5

Mitigating Controls (NIST 800-53 r5) AI

Developer testing and evaluation can discover missing or incorrect command sanitization during development.

Input validation directly neutralizes or rejects special characters that would otherwise alter OS command structure.

Least privilege reduces the permissions available to any process that could be subverted by injected commands.

Least functionality restricts available OS commands and interpreters, limiting the blast radius of injection.

Secure engineering principles require proper neutralization of untrusted input before command construction.

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 mostly match
prevents

PR.PS-06's SDLC practices directly require secure coding and input handling that blocks command-injection defects, yet the single broad outcome leaves many specific neutralization vectors and verification gaps unaddressed.

PR.PS-02 partial match
prevents

Routine patching/maintenance can remediate known command-injection CVEs in dependencies (partial forward) but does nothing to stop developers from introducing improper neutralization in custom code (none reverse).

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.

finds

Security testing and code review target insecure use of operating-system command interfaces, catching command-injection flaws introduced during development.

References