01 Record
CVE-2026-71486
vLLM: Derender endpoints decode caller-supplied GenerateResponse token IDs without output bounds
MediumPUBLISHEDCNA: GitHub_M
CNA base score4.3 CVSS v3.xCVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
02 Description
vLLM: Derender endpoints decode caller-supplied GenerateResponse token IDs without output bounds
03 Exploitation and scoring
- Exploitation
- Assessed, none found. CISA's assessment recorded neither public exploit code nor evidence of exploitation when it was made.
- SSVC decision
- ExploitationnoneCISA recorded no public exploit code and no evidence of exploitation.
- AutomatablenoAt least one step from reconnaissance to exploitation cannot be reliably automated.
- Technical ImpactpartialSuccessful exploitation gives limited control of the vulnerable component.
- EPSS probability
- 0.37% probability of exploitation activity in the next 30 days.
- EPSS percentile
- Equal to or higher than the score of 31.0% of scored records. A rank, not a probability.
- NVD base score
- 4.3 (CVSS v3.x), scored by the NVD independently of the CNA.
- NVD CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
- NVD analysis status
- Analyzed. NVD last modified this record on 2026-10-23.
- Red Hat severity
- Moderate. Red Hat's rating for its own products, not a CVSS rating.
Exploit-prediction scores from FIRST. Independent scoring and analysis status from the NVD. Vendor severity from Red Hat. Exploitation assessment and catalog membership from CISA.
04 Metadata
- Published
- 2026-08-17 20:13Z2 MO AGO
- Last updated
- 2026-08-18 12:34Z2 MO AGO
- Reserved
- 2026-08-06
- Assigning CNA
- GitHub_M
- Record state
- PUBLISHED
- Severity
- Medium (CVSS 4.3)
- CNA CVSS vector
- CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
- Weaknesses
- Data version
- 5.2
- Document digest
- d83c18c6959d7c4b2bae5b1dad267d8b1f3a9c3379fb2c093ff2b95cf0b1372a
05 Affected products
VendorProductVersionsPlatforms
06 References
- github.comhttps://github.com/vllm-project/vllm/security/advisories/GHSA-8737-qx52-hjff
- github.comhttps://github.com/vllm-project/vllm/pull/47260
- github.comhttps://github.com/vllm-project/vllm/commit/8e61b646e2d157f9b93451fa048f9c8530c8a67b
- github.comhttps://github.com/vllm-project/vllm/releases/tag/v0.26.0