What is the CVSS score of CVE-2024-6095?

CVE-2024-6095 has a CVSS 3.1 base score of 5.8 (Medium). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N. EPSS exploitation probability: 2.5%.

Is there a public PoC exploit available for CVE-2024-6095?

Yes, a public proof-of-concept exploit is available for CVE-2024-6095. Prioritise patching immediately. EPSS: 2.5%.

Is there a patch available for CVE-2024-6095?

Yes, a patch is available for CVE-2024-6095. Update the affected software to the latest version immediately.

Localai CVE-2024-6095

MEDIUM

Server-Side Request Forgery (SSRF) (CWE-918)

2024-07-06 security@huntr.dev

SSRF Authentication Bypass Localai

5.8

CVSS 3.1 · NVD

Severity by source

NVD PRIMARY

5.8 MEDIUM

AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Changed

Confidentiality

Low

Integrity

None

Availability

None

Lifecycle Timeline

CVE Published

Jul 06, 2024 - 18:15 nvd

MEDIUM 5.8

DescriptionNVD

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.

AnalysisAI

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). Rated medium severity (CVSS 5.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified as Server-Side Request Forgery (SSRF) (CWE-918), which allows attackers to make the server perform requests to unintended internal or external resources. 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. Affected products include: Mudler Localai. Version information: version 2.17..

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Validate and allowlist destination URLs, block requests to internal networks, use network segmentation.