pysec - pysec-2025-50

PYSEC-2025-50

Vulnerability from pysec - Published: 2025-05-30 18:15 - Updated: 2025-06-19 03:02

Details

vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDoS) vulnerability in the file vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py of versions 0.6.4 up to but excluding 0.9.0. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an attacker to cause severe performance degradation or make the service unavailable. The pattern contains multiple nested quantifiers, optional groups, and inner repetitions which make it vulnerable to catastrophic backtracking. Version 0.9.0 contains a patch for the issue.

Impacted products

Name	purl
vllm	pkg:pypi/vllm

Aliases

CVE-2025-48887

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "vllm",
        "purl": "pkg:pypi/vllm"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "4fc1bf813ad80172c1db31264beaef7d93fe0601"
            }
          ],
          "repo": "https://github.com/vllm-project/vllm",
          "type": "GIT"
        },
        {
          "events": [
            {
              "introduced": "0.6.4"
            },
            {
              "fixed": "0.9.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.6.4",
        "0.6.4.post1",
        "0.6.5",
        "0.6.6",
        "0.6.6.post1",
        "0.7.0",
        "0.7.1",
        "0.7.2",
        "0.7.3",
        "0.8.0",
        "0.8.1",
        "0.8.2",
        "0.8.3",
        "0.8.4",
        "0.8.5",
        "0.8.5.post1"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-48887"
  ],
  "details": "vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDoS) vulnerability in the file `vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py` of versions 0.6.4 up to but excluding 0.9.0. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an attacker to cause severe performance degradation or make the service unavailable. The pattern contains multiple nested quantifiers, optional groups, and inner repetitions which make it vulnerable to catastrophic backtracking. Version 0.9.0 contains a patch for the issue.",
  "id": "PYSEC-2025-50",
  "modified": "2025-06-19T03:02:28.572160+00:00",
  "published": "2025-05-30T18:15:32+00:00",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-w6q7-j642-7c25"
    },
    {
      "type": "EVIDENCE",
      "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-w6q7-j642-7c25"
    },
    {
      "type": "FIX",
      "url": "https://github.com/vllm-project/vllm/commit/4fc1bf813ad80172c1db31264beaef7d93fe0601"
    },
    {
      "type": "FIX",
      "url": "https://github.com/vllm-project/vllm/pull/18454"
    },
    {
      "type": "REPORT",
      "url": "https://github.com/vllm-project/vllm/pull/18454"
    }
  ],
  "related": [
    "GHSA-w6q7-j642-7c25",
    "GHSA-w6q7-j642-7c25"
  ]
}

CVE-2025-48887 (GCVE-0-2025-48887)

Vulnerability from cvelistv5 – Published: 2025-05-30 17:36 – Updated: 2025-05-30 17:58

Summary

vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDoS) vulnerability in the file `vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py` of versions 0.6.4 up to but excluding 0.9.0. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an attacker to cause severe performance degradation or make the service unavailable. The pattern contains multiple nested quantifiers, optional groups, and inner repetitions which make it vulnerable to catastrophic backtracking. Version 0.9.0 contains a patch for the issue.

Severity ?

6.5 (Medium)


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

CWE

CWE-1333 - Inefficient Regular Expression Complexity

Assigner

GitHub_M

References

URL

Tags

	https://github.com/vllm-project/vllm/security/adv…	x_refsource_CONFIRM
	https://github.com/vllm-project/vllm/pull/18454	x_refsource_MISC
	https://github.com/vllm-project/vllm/commit/4fc1b…	x_refsource_MISC

Impacted products

	Vendor	Product	Version
	vllm-project	vllm	Affected: >= 0.6.4, < 0.9.0

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2025-48887",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-05-30T17:58:00.784274Z",
                "version": "2.0.3"
              },
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          "dateUpdated": "2025-05-30T17:58:23.074Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "references": [
          {
            "tags": [
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            "url": "https://github.com/vllm-project/vllm/security/advisories/GHSA-w6q7-j642-7c25"
          }
        ],
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
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        {
          "product": "vllm",
          "vendor": "vllm-project",
          "versions": [
            {
              "status": "affected",
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            }
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      "descriptions": [
        {
          "lang": "en",
          "value": "vLLM, an inference and serving engine for large language models (LLMs), has a Regular Expression Denial of Service (ReDoS) vulnerability in the file `vllm/entrypoints/openai/tool_parsers/pythonic_tool_parser.py` of versions 0.6.4 up to but excluding 0.9.0. The root cause is the use of a highly complex and nested regular expression for tool call detection, which can be exploited by an attacker to cause severe performance degradation or make the service unavailable. The pattern contains multiple nested quantifiers, optional groups, and inner repetitions which make it vulnerable to catastrophic backtracking. Version 0.9.0 contains a patch for the issue."
        }
      ],
      "metrics": [
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            "attackVector": "NETWORK",
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            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "NONE",
            "integrityImpact": "NONE",
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      "providerMetadata": {
        "dateUpdated": "2025-05-30T17:36:16.716Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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      "source": {
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        "discovery": "UNKNOWN"
      },
      "title": "vLLM has a Regular Expression Denial of Service (ReDoS, Exponential Complexity) Vulnerability in `pythonic_tool_parser.py`"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
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    "datePublished": "2025-05-30T17:36:16.716Z",
    "dateReserved": "2025-05-27T20:14:34.297Z",
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    "state": "PUBLISHED"
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  "dataType": "CVE_RECORD",
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}

Sightings

Author	Source	Type	Date

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.

Detection rules are retrieved from Rulezet.

Action not permitted

PYSEC-2025-50

CVE-2025-48887 (GCVE-0-2025-48887)

Tags

Sightings

Nomenclature