CSRF in Mudler Localai
CVE-2024-3135
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 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.
Vulnerability class: CSRF (Cross-Site Request Forgery)
EPSS: 0.003 (21.9th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 6.5 (Medium). Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H.
Affected products
- Mudler Localai
- Mudler Mudler/localai — versions unspecified
Weakness classification (CWE)
Public proof-of-concept exploits
References
- security@huntr.dev (Exploit, Third Party Advisory)
Frequently asked questions
- What is CVE-2024-3135?
- CVE-2024-3135 is a medium-severity vulnerability in Mudler Localai, classified under Cross-Site Request Forgery (CSRF). CVSS score: 6.5/10. Published 2024-04-01.
- How severe is CVE-2024-3135?
- Medium severity. CVSS v3 base score is 6.5 out of 10.
- Is CVE-2024-3135 known to be exploited?
- 3 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.