GPU VulnDB

Database/AI/ML frameworks & serving

ExLlamaV2: out-of-bounds write in the CUDA GPTQ index handler via crafted g_idx

CVSS 4.8CVE-2026-116502AI/ML frameworks & servingcurated

Impact

ExLlamaV2 up to 0.3.2 writes out of bounds in QMatrix::make_sequential (exllamav2/exllamav2_ext/cuda/q_matrix.cu) when the GPTQ g_idx argument is manipulated. On a GPU node that loads quantised models supplied by users or pulled from a model hub, the group-index array is attacker-controlled data inside the model file, so loading an untrusted GPTQ checkpoint corrupts memory in the serving process. The record rates this local, low-privilege, integrity and availability impact only - no confidentiality loss claimed - so the realistic outcome is a crashed or corrupted inference worker rather than a demonstrated host takeover. Shared inference hosts that let tenants bring their own weights carry the exposure.

Who can reach it

Local, authenticated: a user who can run ExLlamaV2 on the node or hand it a GPTQ model file whose g_idx values they control. No network path in the record.

What to do

No fixed version is published - the record states the project was notified through an issue report and has not responded. Mitigate: do not load GPTQ checkpoints from untrusted sources, pin model provenance, and run ExLlamaV2 workers in per-tenant isolation so a corrupted process cannot reach others. Restarting the worker clears a crash but does not address the flaw.

References

Related entries

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This entry is curated: imported from vendor advisories with machine assistance, not yet individually verified. Confirm against your vendor's advisory before acting, and report anything wrong.