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Localai CVE-2024-3135

MEDIUM
Cross-Site Request Forgery (CSRF) (CWE-352)
2024-04-01 security@huntr.dev
6.5
CVSS 3.0 · Vendor: huntr
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Severity by source

Vendor (huntr) PRIMARY
6.5 MEDIUM
AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H

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:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

Lifecycle Timeline

1
CVE Published
Apr 01, 2024 - 19:15 cve.org
MEDIUM 6.5

DescriptionCVE.org

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.

AnalysisAI

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. Rated medium severity (CVSS 6.5), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch 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 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. Affected products include: Mudler Localai.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Implement anti-CSRF tokens, validate Origin/Referer headers, use SameSite cookie attribute.

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CVE-2024-3135 vulnerability details – vuln.today

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