CVE-2024-3135: mudler localai Cross-Site Request Forgery (CSRF)

Vulnerability summary

CVE-2024-3135 is a medium (CVSS 6.5) Cross-Site Request Forgery (CSRF) vulnerability in mudler localai. EPSS estimates a 0.31% chance of exploitation in the next 30 days, higher than 22.7% of scored vulnerabilities. 1 public exploit is recorded.

Timeline

1. 01-04-2024
   PublishedVulnerability first disclosed.
2. 01-08-2024
   Last modifiedVulnerability information updated.

Description

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.

• CWE-352Cross-Site Request Forgery (CSRF)The web application does not, or cannot, sufficiently verify whether a request was intentionally provided by the user who sent the request, which could have originated from an unauthorized actor.