CVE-2024-6095
Mudler LocalAI SSRF and Limited LFI Vulnerability
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.
INFO
Published Date :
July 6, 2024, 6:15 p.m.
Last Modified :
July 9, 2024, 5:41 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
1.4
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2024-6095 has a 3 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
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-2024-6095.
| URL | Resource |
|---|---|
| https://github.com/mudler/localai/commit/2fc6fe806b903ac0a70218b21b5c84443a1b0866 | Patch |
| https://huntr.com/bounties/4799262d-72dc-43c8-bc99-81d0dce996dc | Exploit Third Party Advisory |
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).
None
Python
None
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Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-6095 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-6095 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.
-
Initial Analysis by [email protected]
Jul. 09, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N Changed Reference Type https://github.com/mudler/localai/commit/2fc6fe806b903ac0a70218b21b5c84443a1b0866 No Types Assigned https://github.com/mudler/localai/commit/2fc6fe806b903ac0a70218b21b5c84443a1b0866 Patch Changed Reference Type https://huntr.com/bounties/4799262d-72dc-43c8-bc99-81d0dce996dc No Types Assigned https://huntr.com/bounties/4799262d-72dc-43c8-bc99-81d0dce996dc Exploit, Third Party Advisory Added CPE Configuration OR *cpe:2.3:a:mudler:localai:*:*:*:*:*:*:*:* versions up to (excluding) 2.17.0 -
CVE Received by [email protected]
Jul. 06, 2024
Action Type Old Value New Value Added 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. Added Reference huntr.dev https://huntr.com/bounties/4799262d-72dc-43c8-bc99-81d0dce996dc [No types assigned] Added Reference huntr.dev https://github.com/mudler/localai/commit/2fc6fe806b903ac0a70218b21b5c84443a1b0866 [No types assigned] Added CWE huntr.dev CWE-918 Added CVSS V3 huntr.dev AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-6095 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-2024-6095
weaknesses.