CVE-2026-53923 - vLLM GGUF Kernels: int64_t to int truncation of tensor dimensions causes GPU buffer overflow

CVE-2026-53923 - vLLM GGUF Kernels: int64_t to int truncation of tensor dimensions causes GPU buffer overflow

https://cvefeed.io/rssfeed/latest.atom / Tue, 06/23/2026 - 04:01
CVE ID :CVE-2026-53923
Published : June 22, 2026, 9:55 p.m. | 3 hours, 45 minutes ago
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.
Severity: 0.0 | NA
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