CVE-2026-73558: vllm · Integer Overflow or Wraparound
Affects vllmSource CVE Database V5
Not known to be exploited · CVSS 5.3 Medium : upgrade to 0.27.0 when convenient.
Data as of 12 Nov 2026, 23:24 UTC
- EPSS
- 0.4% chance of exploitation in 30 days – higher than 36% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 0.27.0
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 13 Aug 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: 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 13 Nov 2026.
What to do
Upgrade vllm and vllm-project/vllm to 0.27.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| vllm-projectvllm | Affected
| Fixed in
|
GitHubvllm-project/vllmpkg:github/vllm-project/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 to vllm version 0.27.0 or later, where this integer overflow vulnerability is fixed. No other mitigation or temporary workaround is documented. Patch status is confirmed by the vendor advisory stating the fix is included in version 0.27.0.
Description
vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x * 2 * d in activation_kernels.cu can cause act_and_mul_kernel to consume another batched user's input, allowing a request processed in the same inference batch to receive a partial or complete copy of another user's inference result. This issue is fixed in version 0.27.0.
References
- github.com/vllm-project/vllm/security/advisories/GHSA-7m6h-x95x-82q5 (opens in a new tab)
- github.com/vllm-project/vllm/issues/42860 (opens in a new tab)
- github.com/vllm-project/vllm/pull/49660 (opens in a new tab)
- github.com/vllm-project/vllm/commit/451227cb3ff07989698fed982c2d3e4300257924 (opens in a new tab)
- github.com/vllm-project/vllm/releases/tag/v0.27.0 (opens in a new tab)