Vulnerability-Lookup

GHSA-VFM7-4H43-GP6M

Vulnerability from github – Published: 2026-06-20 21:31 – Updated: 2026-09-11 15:45

Withdrawn 2026-09-11

Summary

Duplicate Advisory: vLLM Vulnerable to Regular Expression Denial of Service

Details

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of GHSA-j828-28rj-hfhp. This link is maintained to preserve external references.

Original Description

vLLM versions >= 0.6.3 and < 0.9.0 contain multiple regular expression denial of service (ReDoS) vulnerabilities. Several regex patterns — in vllm/lora/utils.py, the phi4mini tool parser, and the OpenAI-compatible serving chat endpoint — are susceptible to catastrophic backtracking. An attacker submitting crafted input with nested or repeated structures can trigger severe CPU consumption and performance degradation, resulting in denial of service.

Severity

4.3 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

5.3 (Medium)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Show details on source website

JSON

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{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "vllm"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0.6.3"
            },
            {
              "fixed": "0.9.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-1333"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-09-11T15:45:34Z",
    "nvd_published_at": "2026-06-20T19:16:23Z",
    "severity": "MODERATE"
  },
  "details": "### Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of GHSA-j828-28rj-hfhp. This link is maintained to preserve external references.\n\n### Original Description\n\nvLLM versions \u003e= 0.6.3 and \u003c 0.9.0 contain multiple regular expression denial of service (ReDoS) vulnerabilities. Several regex patterns \u2014 in vllm/lora/utils.py, the phi4mini tool parser, and the OpenAI-compatible serving chat endpoint \u2014 are susceptible to catastrophic backtracking. An attacker submitting crafted input with nested or repeated structures can trigger severe CPU consumption and performance degradation, resulting in denial of service.",
  "id": "GHSA-vfm7-4h43-gp6m",
  "modified": "2026-09-11T15:45:35Z",
  "published": "2026-06-20T21:31:21Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-j828-28rj-hfhp"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-71379"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/vllm-project/vllm"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/vllm-regular-expression-denial-of-service-in-multiple-components"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Duplicate Advisory: vLLM Vulnerable to Regular Expression Denial of Service",
  "withdrawn": "2026-09-11T15:45:34Z"
}

CVE-2025-71379 (GCVE-0-2025-71379)

Vulnerability from cvelistv5 – Published: 2026-06-20 18:27 – Updated: 2026-06-22 18:12

Title

vllm - Regular Expression Denial of Service in Multiple Components

Summary

Severity

5.3 (Medium)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

4.3 (Medium)


                        
                          CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-06-22 17:54 UTC

CWE

CWE-1333 - Inefficient Regular Expression Complexity

Assigner

VulnCheck mitre root Scorecard

References

2 references

URL	Tags
https://github.com/vllm-project/vllm/security/adv…	vendor-advisory
https://www.vulncheck.com/advisories/vllm-regular…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
vllm	vllm	Affected: 0.6.3 , < 0.9.0 (semver) Unaffected: 0.9.0 (semver) cpe:2.3:a:vllm:vllm::::::::

Date Public

2025-05-28 00:00

Credits

kexinoh russellb mgoin

Show details on NVD website

JSON

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-71379",
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                  },
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                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-06-22T17:54:20.295719Z",
                "version": "2.0.3"
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          "shortName": "CISA-ADP"
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    "cna": {
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            },
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              "status": "unaffected",
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              "versionType": "semver"
            }
          ]
        }
      ],
      "cpeApplicability": [
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          "nodes": [
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              "cpeMatch": [
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                  "criteria": "cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:*",
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            "privilegesRequired": "LOW",
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            "subConfidentialityImpact": "NONE",
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}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

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