CVE-2024-3135
Mudler LocalAI CSRF Exposure
Description
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.
INFO
Published Date :
April 1, 2024, 7:15 p.m.
Last Modified :
April 16, 2024, 12:15 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
2.8
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2024-3135.
| URL | Resource |
|---|---|
| https://huntr.com/bounties/7afdc4d3-4b68-45ea-96d0-cf9ed3712ae8 |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-3135 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-3135 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Apr. 16, 2024
Action Type Old Value New Value Changed Description The web server lacked CSRF tokens allowing an attacker to host malicious JavaScript on a host that when visited by a LocalAI user, could allow the attacker to fill disk space to deny service or abuse credits. 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. -
CVE Received by [email protected]
Apr. 01, 2024
Action Type Old Value New Value Added Description The web server lacked CSRF tokens allowing an attacker to host malicious JavaScript on a host that when visited by a LocalAI user, could allow the attacker to fill disk space to deny service or abuse credits. Added Reference huntr.dev https://huntr.com/bounties/7afdc4d3-4b68-45ea-96d0-cf9ed3712ae8 [No types assigned] Added CWE huntr.dev CWE-352 Added CVSS V3 huntr.dev AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-3135 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2024-3135
weaknesses.