SSRF in Mudler Localai
CVE-2024-6095
A vulnerability in the /models/apply endpoint of mudler/localai versions 2.15.0 allows for Server-Side Request Forgery (SSRF) and partial Local File Inclusion (LFI). The endpoint supports both http(s):// and file:// schemes, where the latter can lead to LFI. However, the output is limited due to the length of the error message. This vulnerability can be exploited by an attacker with network access to the LocalAI instance, potentially allowing unauthorized access to internal HTTP(s) servers and partial reading of local files. The issue is fixed in version 2.17.
Vulnerability class: SSRF (Server-Side Request Forgery)
EPSS: 0.025 (82.9th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 5.8 (Medium). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N.
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)
- security@huntr.dev (Patch)
Frequently asked questions
- What is CVE-2024-6095?
- CVE-2024-6095 is a medium-severity vulnerability in Mudler Localai, classified under Server-Side Request Forgery (SSRF). CVSS score: 5.8/10. Published 2024-07-06.
- How severe is CVE-2024-6095?
- Medium severity. CVSS v3 base score is 5.8 out of 10.
- Is CVE-2024-6095 known to be exploited?
- 6 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.