CVE-2025-48956 json
vLLM API endpoints vulnerable to Denial of Service Attacks
published 2025-08-21 14 mo ago modified 2026-09-10 1 mo ago also EUVD-2025-25446 , GHSA-rxc4-3w6r-4v47 , PYSEC-2026-2021
- cvss
- 7.5
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.6%
- EPSS 0.6% chance of exploitation in 30 days, percentile 47%
- public exploits
- 0
- none known
Summary
vLLM is an inference and serving engine for large language models (LLMs). From 0.1.0 to before 0.10.1.1, a Denial of Service (DoS) vulnerability can be triggered by sending a single HTTP GET request with an extremely large header to an HTTP endpoint. This results in server memory exhaustion, potentially leading to a crash or unresponsiveness. The attack does not require authentication, making it exploitable by any remote user. This vulnerability is fixed in 0.10.1.1.
Patch / fix
- pypi vllm 0.10.1.1
- vllm-project vllm 0.10.1.1
- vllm vllm 0.10.1.1
- github.com/vllm-project/vllm@d8b736f commit
- github.com/vllm-project/vllm#23267 pull request
Vendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2025-48956 updated cvss 7.5
vllm: HTTP header size limit not enforced allows Denial of Service from Unauthenticated requests
-
Red Hat AI Inference Server rhaiis/vllm-tpu-rhel9, rhaiis/vllm-cuda-rhel9, rhaiis/vllm-rocm-rhel9, rhaiis/vllm-spyre-rhel9, rhaiis-preview/vllm-cuda-rhel9affected: workaround, no fix available, no fix planned “Will not fix”
-
Red Hat Enterprise Linux AI (RHEL AI) rhelai1/ui-rhel9, rhelai1/gemma-2-9b-it, rhelai1/gemma-2-9b-it-fp8, rhelai1/granite-8b-lab-v1, rhelai1/pathservice-rhel9, rhelai1/skills-adapter-v3, +37 moreaffected: workaround, no fix available
-
Red Hat Enterprise Linux AI (RHEL AI) 3 rhelai3/bootc-cuda-rhel9, rhelai3/bootc-aws-cuda-rhel9, rhelai3/bootc-gcp-cuda-rhel9, rhelai3/bootc-azure-cuda-rhel9affected: workaround, no fix planned “Will not fix”
-
Red Hat OpenShift AI (RHOAI) rhoai/odh-vllm-cuda-rhel9, rhoai/odh-vllm-rocm-rhel9affected: workaround, no fix available
-
Red Hat Enterprise Linux AI 1.5 rhelai1 1.5.4-1761043227, rhelai1 1.5.4-1761050413, rhelai1 1.5.4-1761060689, rhelai1 1.5.4-1761064179, rhelai1 1.5.4-1761073793, rhelai1 1.5.4-1761220254, +4 morefixed: vendor fix RHSA-2025:19427
-
Red Hat OpenShift AI 2.25 rhoai/odh-vllm-cpu-rhel9 1780069252fixed: vendor fix RHSA-2026:24977
-
Red Hat OpenShift AI 3.3 rhoai 1770754585, rhoai 1770754605, rhoai 1770754646, rhoai 1770956034, rhoai 1771809484, rhoai 1771840993fixed: vendor fix RHSA-2026:3713
-
Red Hat OpenShift AI 2.25 rhoai/odh-rhel9-operator 1780513840, rhoai/odh-dashboard-rhel9 1780467029, rhoai/odh-modelmesh-rhel9 1780069506, rhoai/odh-operator-bundle 1780514621, rhoai/odh-vllm-cuda-rhel9 1780069320, rhoai/odh-vllm-rocm-rhel9 1780069849, +70 more Red Hat OpenShift AI 3.3 rhoai 1769162595, rhoai 1769436305, rhoai 1769519975, rhoai 1770277795, rhoai 1770735854, rhoai 1770788873, +66 morenot affected: vulnerable code not present
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- none
- Automatable
- yes
- Technical impact
- partial
- Assessed
- 14 mo ago
Exploit prediction
0.56% chance of exploitation in the next 30 days, higher than 47% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| OSV | 3.1 | 7.5 | CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | vllm | >=0.1.0, <0.10.1.1 |
0.10.1.1 |
Affected products
- vllm-project vllm
Classification
- Weakness
-
- CWE-400 Uncontrolled Resource Consumption
References
-
github.com
/vllm-project/vllm/pull/23267
web, issue-tracking, patch
-
github.com
/vllm-project/vllm/commit/d8b736f913a59117803d6701521d2e4861701944
web, patch
-
github.com
/vllm-project/vllm/security/advisories/GHSA-rxc4-3w6r-4v47
web, vendor-advisory
-
nvd.nist.gov
/vuln/detail/CVE-2025-48956
advisory
-
github.com
/advisories/GHSA-rxc4-3w6r-4v47
advisory
-
github.com
/pypa/advisory-database/tree/main/vulns/vllm/PYSEC-2026-2021.yaml
web
-
github.com
/vllm-project/vllm
package
-
pypi.org
/project/vllm
web, package
Sources
- CVE List CVE-2025-48956
- GitHub Advisory GHSA-rxc4-3w6r-4v47
- NVD CVE-2025-48956
- OSV PYSEC-2026-2021
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.
CPEs and fixed versions use Anchore's correction of NVD's data: Added CPE configurations because not yet analyzed by NVD.