Machine-written summary
Summary written by Claude Haiku from the source advisory. Not reviewed by a person.
Affected: vLLM versions from 0.5.5 before 0.24.0 (PyPI vllm). Integer truncation in the GGUF dequantize CUDA kernels can leave part of a tensor's output buffer unwritten, so it retains stale GPU memory that may contain data from other users' requests in multi-tenant serving. An attacker who supplies a crafted GGUF model file with very large tensor dimensions could cause this when a victim loads the model, leading to information disclosure. Upgrade to vLLM 0.24.0 or later. The source gives no workaround.
Not analysed yet
We haven’t published our analysis of this Advisory yet. Once a person has reviewed it, this page will say what’s vulnerable, what has to be true for your app to be affected, and how to check.
Severity and exploitation
| Score | Rating | CVSS | Vector | Source |
|---|---|---|---|---|
| 5.3 | Medium | 4.0 | CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:L/VI:L/VA:N/SC:N/SI:N/SA:N | CNA (GitHub_M) |
- CISA KEV Not listed.
- EPSS 0.0048, the 41st percentile, on 5 Nov 2026: FIRST’s estimate of the chance of exploitation in the next 30 days.
Timeline
- 31 Oct 2026, 14:11 UTC First seen by agentprime
- 31 Oct 2026, 14:11 UTC Confirmed by OSV
Sources
- GitHub Advisory Database: GHSA-5jv2-g5wq-cmr4
- OSV: GHSA-5jv2-g5wq-cmr4
- github.com/vllm-project/vllm/security/advisories/GHSA-5jv2-g5wq-cmr4
- nvd.nist.gov/vuln/detail/CVE-2026-53923
- github.com/vllm-project/vllm/pull/44971
- github.com/vllm-project/vllm/commit/f219788f91952827132fa4fdf916427cd20d225e
- github.com/advisories/GHSA-5jv2-g5wq-cmr4
- github.com/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-3403.yaml
- github.com/vllm-project/vllm
- pypi.org/project/vllm