Cyber Resilience

CVE-2024-3135

MediumPublic PoC

Published: 01 April 2024

Published
01 April 2024
Modified
27 June 2025
KEV Added
—
Patch
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CVSS Score v3 6.5 CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
EPSS Score 0.0011 29.4th percentile
Risk Priority 13 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-3135 is a medium-severity CSRF (CWE-352) vulnerability in Mudler Localai. Its CVSS base score is 6.5 (Medium).

Operationally, exploitation aligns with the MITRE ATT&CK technique OS Exhaustion Flood (T1499.001); ranked at the 29.4th 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 Other Platforms; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: External Harms (AML.T0048).

EU & UK References

Vulnerability details

A Cross-Site Request Forgery (CSRF) vulnerability exists in the mudler/localai application, allowing attackers to craft malicious webpages that, when visited by a victim, perform unauthorized actions on the victim's local LocalAI instance without their consent. This vulnerability enables attackers to…

more

exhaust system resources, consume credits, and fill disk space by making numerous resource-intensive API calls, such as generating images or uploading files. The vulnerability stems from the application's acceptance of simple request content-types without requiring CSRF tokens or implementing other CSRF mitigation measures. Successful exploitation does not require network access to the vulnerable LocalAI environment.

CWE(s)
CWE-352

AI Security AnalysisAI

AI Category
Other Platforms
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
LocalAI (mudler/localai) is a self-hosted, open-source platform for running AI models locally with an OpenAI-compatible API, supporting inference for LLMs, image generation, and more. It fits as an 'Other Platforms' category for AI serving and deployment platforms.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1499.001 OS Exhaustion Flood Impact
Adversaries may launch a denial of service (DoS) attack targeting an endpoint's operating system (OS).
attack.mitre.org →
T1499.003 Application Exhaustion Flood Impact
Adversaries may target resource intensive features of applications to cause a denial of service (DoS), denying availability to those applications.
attack.mitre.org →
T1499.004 Application or System Exploitation Impact
Adversaries may exploit software vulnerabilities that can cause an application or system to crash and deny availability to users.
attack.mitre.org →
Why these techniques?

The CSRF vulnerability enables attackers to trick authenticated users into executing numerous resource-intensive API calls (e.g., image generation) and file uploads via malicious webpages, facilitating endpoint DoS through OS/application resource exhaustion, disk space exhaustion via flooding, and direct exploitation of the application for DoS.

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0048: External Harms

Affected Assets

mudler
localai
≤ 2.17.0

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.

AT-2 Literacy Training and Awareness
addresses: CWE-352

Awareness training educates users on avoiding untrusted links and actions that can be exploited via CSRF.

IA-11 Re-authentication
addresses: CWE-352

Requiring user re-entry of credentials for sensitive actions prevents automated forgery of requests without active user participation.

PM-14 Testing, Training, and Monitoring
addresses: CWE-352

Security testing regimens explicitly include checks for missing or ineffective anti-CSRF protections in web applications.

SI-4 System Monitoring
addresses: CWE-352

Detects anomalous request patterns consistent with cross-site request forgery.

References