CVE-2026-34159: llama.cpp is an inference of several LLM models in C/C++. Prior to version b8492, the RPC backend's…
CVE-2026-34159 · Severity: critical · CVSS 9.8 · Published 2026-04-01
llama.cpp is an inference of several LLM models in C/C++. Prior to version b8492, the RPC backend's deserialize_tensor() skips all bounds validation when a tensor's buffer field is 0. An unauthenticated attacker can read and write arbitrary process memory via crafted GRAPH_COMPUTE messages. Combined with pointer leaks from ALLOC_BUFFER/BUFFER_GET_BASE, this gives full ASLR bypass and remote code execution. No authentication required, just TCP access to the RPC server port. This issue has been patched in version b8492.
No. Junglewise Threat Intelligence has no report of CVE-2026-34159 being exploited in the wild.
How severe is CVE-2026-34159?
Critical severity, with a CVSS score of 9.8, published 1 April 2026.
Which products and versions are affected?
GGML Llama.Cpp. The advisory does not name versions.
Is there a fix for CVE-2026-34159?
No fixed version is recorded yet. Check the vendor's advisory in the references below. If you run it, Junglewise drafts a mitigation that fits your setup and applies it once you approve, with senior security engineers behind it.
Am I affected by CVE-2026-34159?
Check whether you run GGML Llama.Cpp. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.