Cyber Resilience

CVE-2024-7010

MediumPublic PoC

Published: 29 October 2024

Published
29 October 2024
Modified
15 October 2025
KEV Added
Patch
CVSS Score v3.1 5.9 CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0026 50.0th percentile
Risk Priority 12 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-7010 is a medium-severity Observable Timing Discrepancy (CWE-208) vulnerability in Mudler Localai. Its CVSS base score is 5.9 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Credential Access (T1212); ranked in the top 50.0% 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 Other Platforms; in the Supply Chain and Deployment risk domain; MITRE ATLAS techniques in scope: AI Model Inference API Access (AML.T0040).

EU & UK References

Vulnerability details

mudler/localai version 2.17.1 is vulnerable to a Timing Attack. This type of side-channel attack allows an attacker to compromise the cryptosystem by analyzing the time taken to execute cryptographic algorithms. Specifically, in the context of password handling, an attacker can…

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determine valid login credentials based on the server's response time, potentially leading to unauthorized access.

CWE(s)

AI Security AnalysisAI

AI Category
Other Platforms
Risk Domain
Supply Chain and Deployment
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
LocalAI is an open-source platform for local AI model inference, providing OpenAI-compatible APIs, making it an AI-related platform despite the vulnerability being in server authentication.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
Why these techniques?

The timing attack vulnerability in password handling enables exploitation for credential access (T1212) by allowing attackers to determine valid login credentials through analysis of server response times.

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0040: AI Model Inference API Access

Affected Assets

mudler
localai
2.17.1

Mitigating Controls

Likely Mitigating Controls AI

Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.

addresses: CWE-203 CWE-208

Misdirection can normalize or falsify responses to eliminate observable discrepancies that aid reconnaissance.

addresses: CWE-208 CWE-203

Observable timing discrepancies are a primary mechanism for constructing covert timing channels; analysis identifies and bounds them, limiting exploitation.

addresses: CWE-203

Prevents attackers from using observable differences in error responses to infer internal system details or state.

References