CVE-2026-73559: vllm · Uncontrolled Resource Consumption
Affects vllmSource CVE Database V5
Not known to be exploited · CVSS 6.5 Medium : upgrade to 0.26.0 when convenient.
Data as of 12 Nov 2026, 23:24 UTC
- EPSS
- 0.5% chance of exploitation in 30 days – higher than 48% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
- Patch
- Available – fixed in 0.26.0
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HExploitation 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 to 0.26.0.
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| vllm-projectvllm | Affected
| Fixed in
|
AI-suggested
Upgrade to vllm version 0.26.0 or later, where this issue is fixed. Patch status is confirmed by the version range and fix version stated in the description. No other mitigation is indicated.
Description
CVE-2026-73559 is a medium severity vulnerability in vllm, an inference and serving engine for large language models. Versions from 0.19.0 up to but not including 0.26.0 allow an authenticated API client to send a CompletionRequest with an unbounded list of prompts. This leads to uncontrolled resource consumption, exhausting CPU, memory, async scheduling capacity, engine request slots, and response buffering. The issue is fixed in version 0.26.0.
References
- github.com/vllm-project/vllm/security/advisories/GHSA-87x5-vmc3-756j (opens in a new tab)
- github.com/vllm-project/vllm/pull/47845 (opens in a new tab)
- github.com/vllm-project/vllm/commit/675f4295cdfe0d870471c2b51bfeca3a68a9569e (opens in a new tab)
- github.com/vllm-project/vllm/releases/tag/v0.26.0 (opens in a new tab)