CVE-2026-115912: vllm · Deserialization of Untrusted Data
Affects vllmSource CVE Database V5
Not known to be exploited · CVSS 7.5 High : upgrade to 0.32.0 soon.
Data as of 26 Oct 2026, 19:57 UTC
- Patch
- Available – fixed in 0.32.0
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 26 Oct 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Upgrade vllm to 0.32.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| vllm-projectvllm | Affected
| Fixed in
|
PyPIvllmpkg:pypi/vllmOther threats | Affected
| Fixed in
|
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
Upgrade vllm to version 0.32.0 or later, where this vulnerability is fixed. No other mitigations are specified. Since this is an authenticated attack vector, restricting access to trusted users reduces risk but does not eliminate it. Patch status is confirmed fixed in 0.32.0.
Description
vLLM is an inference and serving engine for large language models. Prior to 0.32.0, an authenticated caller can place forged shared-memory address and monotonic_id values in public multimodal features.kwargs_data. In scale-out deployments with shared-memory multimodal caching enabled, workers trust those values and pass attacker-selected bytes to pickle.loads(), allowing arbitrary Python execution even when insecure serialization is disabled. This issue is fixed in version 0.32.0.
References
- github.com/vllm-project/vllm/security/advisories/GHSA-6757-hggm-hp2w (opens in a new tab)
- github.com/vllm-project/vllm/pull/59357 (opens in a new tab)
- github.com/vllm-project/vllm/commit/3d5625cc3c2474994107047d7a6ecb8e4008f9b0 (opens in a new tab)
- github.com/vllm-project/vllm/releases/tag/v0.32.0 (opens in a new tab)