What is the CVSS score of CVE-2024-5616?

CVE-2024-5616 has a CVSS 3.0 base score of 4.3 (Medium). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L. EPSS exploitation probability: 0.2%.

Is there a public PoC exploit available for CVE-2024-5616?

Yes, a public proof-of-concept exploit is available for CVE-2024-5616. Prioritise patching immediately. EPSS: 0.2%.

Is there a patch available for CVE-2024-5616?

Yes, a patch is available for CVE-2024-5616. Update the affected software to the latest version immediately.

Localai CVE-2024-5616

MEDIUM

Cross-Site Request Forgery (CSRF) (CWE-352)

2024-07-06 security@huntr.dev

CSRF Localai

4.3

CVSS 3.0 · Vendor: huntr

Severity by source

Vendor (huntr) PRIMARY

4.3 MEDIUM

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

Primary rating from Vendor (huntr) · only source for this CVE.

CVSS VectorVendor: huntr

CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

Low

Lifecycle Timeline

CVE Published

Jul 06, 2024 - 09:15 cve.org

MEDIUM 4.3

DescriptionCVE.org

A Cross-Site Request Forgery (CSRF) vulnerability exists in mudler/LocalAI versions up to and including 2.15.0, which allows attackers to trick victims into deleting installed models. By crafting a malicious HTML page, an attacker can cause the deletion of a model, such as 'gpt-4-vision-preview', without the victim's consent. The vulnerability is due to insufficient CSRF protection mechanisms on the model deletion functionality.

AnalysisAI

A Cross-Site Request Forgery (CSRF) vulnerability exists in mudler/LocalAI versions up to and including 2.15.0, which allows attackers to trick victims into deleting installed models. Rated medium severity (CVSS 4.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available.

Technical ContextAI

This vulnerability is classified as Cross-Site Request Forgery (CSRF) (CWE-352), which allows attackers to trick authenticated users into performing unintended actions. A Cross-Site Request Forgery (CSRF) vulnerability exists in mudler/LocalAI versions up to and including 2.15.0, which allows attackers to trick victims into deleting installed models. By crafting a malicious HTML page, an attacker can cause the deletion of a model, such as 'gpt-4-vision-preview', without the victim's consent. The vulnerability is due to insufficient CSRF protection mechanisms on the model deletion functionality. Affected products include: Mudler Localai.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Implement anti-CSRF tokens, validate Origin/Referer headers, use SameSite cookie attribute.