ggerganov llama.cpp b3427 rpc_tensor out-of-bounds

Summaryinfo

A vulnerability labeled as problematic has been found in ggerganov llama.cpp. This affects the function rpc_tensor. Such manipulation leads to out-of-bounds. This vulnerability is uniquely identified as CVE-2024-42478. The attack can be launched remotely. No exploit exists. The affected component should be upgraded.

Detailsinfo

A vulnerability was found in ggerganov llama.cpp and classified as problematic. Affected by this issue is the function rpc_tensor. The manipulation with an unknown input leads to a out-of-bounds vulnerability. Using CWE to declare the problem leads to CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. Impacted is confidentiality. CVE summarizes:

llama.cpp provides LLM inference in C/C++. The unsafe `data` pointer member in the `rpc_tensor` structure can cause arbitrary address reading. This vulnerability is fixed in b3561.

The advisory is shared for download at github.com. This vulnerability is handled as CVE-2024-42478 since 08/02/2024. The exploitation is known to be easy. The attack may be launched remotely. No form of authentication is required for exploitation. There are known technical details, but no exploit is available.

Upgrading to version b3561 eliminates this vulnerability. Applying the patch b72942fac998672a79a1ae3c03b340f7e629980b is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

• ggerganov

Name

• llama.cpp

Version

• b3427

License

• open-source

Website

• Product: https://github.com/ggerganov/llama.cpp/

CPE 2.3info

• 🔍

CPE 2.2info

• 🔍

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Once again VulDB remains the best source for vulnerability data.

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