CVE-2024-42479
LLaMA.cpp RPC Tensor Address Writing Vulnerability
Description
llama.cpp provides LLM inference in C/C++. The unsafe `data` pointer member in the `rpc_tensor` structure can cause arbitrary address writing. This vulnerability is fixed in b3561.
INFO
Published Date :
Aug. 12, 2024, 3:15 p.m.
Last Modified :
Aug. 15, 2024, 2:03 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
6.0
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2024-42479 has a 1 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-2024-42479.
| URL | Resource |
|---|---|
| https://github.com/ggerganov/llama.cpp/commit/b72942fac998672a79a1ae3c03b340f7e629980b | Patch |
| https://github.com/ggerganov/llama.cpp/security/advisories/GHSA-wcr5-566p-9cwj | Exploit Vendor 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
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-42479 vulnerability anywhere in the article.
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Trend Micro
The Road to Agentic AI: Exposed Foundations
Report highlights: Retrieval augmented generation (RAG) enables enterprises to build customized, efficient, and cost-effective applications based on private data. However, research reveals significant ... Read more
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Cybersecurity News
CVE-2024-42479 (CVSS 10) in Popular Python Package llama_cpp_python Exposes Millions to RCE
Please enable JavaScriptA severe security vulnerability has been discovered in the widely-used AI library llama_cpp_python, potentially allowing threat actors to execute malicious code on affected sys ... Read more
The following table lists the changes that have been made to the
CVE-2024-42479 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.
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Initial Analysis by [email protected]
Aug. 15, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/ggerganov/llama.cpp/commit/b72942fac998672a79a1ae3c03b340f7e629980b No Types Assigned https://github.com/ggerganov/llama.cpp/commit/b72942fac998672a79a1ae3c03b340f7e629980b Patch Changed Reference Type https://github.com/ggerganov/llama.cpp/security/advisories/GHSA-wcr5-566p-9cwj No Types Assigned https://github.com/ggerganov/llama.cpp/security/advisories/GHSA-wcr5-566p-9cwj Exploit, Vendor Advisory Added CWE NIST CWE-787 Added CPE Configuration OR *cpe:2.3:a:ggerganov:llama.cpp:*:*:*:*:*:*:*:* versions up to (excluding) b3561 -
CVE Received by [email protected]
Aug. 12, 2024
Action Type Old Value New Value Added Description llama.cpp provides LLM inference in C/C++. The unsafe `data` pointer member in the `rpc_tensor` structure can cause arbitrary address writing. This vulnerability is fixed in b3561. Added Reference GitHub, Inc. https://github.com/ggerganov/llama.cpp/security/advisories/GHSA-wcr5-566p-9cwj [No types assigned] Added Reference GitHub, Inc. https://github.com/ggerganov/llama.cpp/commit/b72942fac998672a79a1ae3c03b340f7e629980b [No types assigned] Added CWE GitHub, Inc. CWE-123 Added CVSS V3.1 GitHub, Inc. AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/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-2024-42479 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-2024-42479
weaknesses.