CVE-2026-53923
vLLM GGUF Kernels: int64_t to int truncation of tensor dimensions causes GPU buffer overflow
Description
vLLM is an inference and serving engine for large language models (LLMs). From 0.5.5 until 0.23.1rc0, integer truncation of tensor dimensions in vLLM's GGUF dequantize kernels (csrc/quantization/gguf/gguf_kernel.cu) causes partial tensor processing. The output tensor is allocated at full size via torch::empty (uninitialized memory), but the dequantize CUDA kernel processes only a truncated number of elements. The unfilled portion of the output tensor retains whatever was previously in GPU memory. In multi-tenant inference deployments, this residual GPU memory may contain tensor data from other users' inference requests, constituting information disclosure. This vulnerability is fixed in 0.23.1rc0.
INFO
Published Date :
June 22, 2026, 9:55 p.m.
Last Modified :
June 22, 2026, 9:55 p.m.
Remotely Exploit :
No
Source :
GitHub_M
Solution
- Update vLLM to 0.23.1rc0 or later.
- Review tensor processing for truncation vulnerabilities.
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