Vulnerability-Lookup

CVE-2025-71344 (GCVE-0-2025-71344)

Vulnerability from cvelistv5 – Published: 2026-06-22 21:04 – Updated: 2026-06-23 18:24

Title

picklescan - Arbitrary Code Execution via Undetected ensurepip._run_pip Function

Summary

picklescan before 0.0.30 (affected versions 0.0.26 and earlier) fails to detect the ensurepip._run_pip built-in function when scanning pickle files, allowing attackers to execute arbitrary code. Malicious pickle files embedding ensurepip._run_pip calls in __reduce__ methods bypass picklescan detection and achieve remote code execution upon pickle.load() invocation.

Severity

7.6 (High)


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

8.1 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-06-23 18:22 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

VulnCheck mitre root

References

2 references

URL	Tags
https://github.com/mmaitre314/picklescan/security…	vendor-advisory
https://www.vulncheck.com/advisories/picklescan-a…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version	CPE status
picklescan	picklescan	Affected: 0 , < 0.0.30 (semver) Unaffected: 0.0.30 (semver) cpe:2.3:a:mmaitre314:picklescan::::::::

Date Public

2025-08-26 00:00

Credits

FredericDT

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2025-71344

Vulnerability from fkie_nvd - Published: 2026-06-22 22:16 - Updated: 2026-06-23 19:17

Severity

8.1 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N

Summary

References

	URL	Tags
	disclosure@vulncheck.com	https://github.com/mmaitre314/picklescan/security/advisories/GHSA-xp4f-hrf8-rxw7
	disclosure@vulncheck.com	https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-undetected-ensurepip-run-pip-function
	134c704f-9b21-4f2e-91b3-4a467353bcc0	https://github.com/mmaitre314/picklescan/security/advisories/GHSA-xp4f-hrf8-rxw7

Impacted products

	Vendor	Product	Version

JSON

To clipboard

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    }
  ]
}

GHSA-XP4F-HRF8-RXW7

Vulnerability from github – Published: 2025-08-26 21:34 – Updated: 2026-07-21 19:24

Summary

Picklescan is missing detection when calling built-in python ensurepip._run_pip

Details

Summary

Using ensurepip._run_pip function, which is a built-in python library function to execute remote pickle file.

Details

The attack payload executes in the following steps:

First, the attacker craft the payload by calling to ensurepip._run_pip function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.

PoC

from ensurepip import _run_pip

class EvilEnsurepipRunpip:
    def __reduce__(self):
        payload = "[(__import__('os').system('whoami'),)]"
        return _run_pip, (payload,)

Impact

Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Supply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.

Corresponding

https://github.com/FredericDT https://github.com/Qhaoduoyu

Severity

8.1 (High)


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

7.6 (High)


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

Show details on source website

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "picklescan"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.30"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-71344"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-08-26T21:34:37Z",
    "nvd_published_at": "2026-06-22T22:16:45Z",
    "severity": "HIGH"
  },
  "details": "### Summary\n\nUsing ensurepip._run_pip function, which is a built-in python library function to execute remote pickle file.\n\n### Details\n\nThe attack payload executes in the following steps:\n\nFirst, the attacker craft the payload by calling to ensurepip._run_pip function in reduce method\nThen when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn\u0027t dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.\n\n### PoC\n\n```\nfrom ensurepip import _run_pip\n\nclass EvilEnsurepipRunpip:\n    def __reduce__(self):\n        payload = \"[(__import__(\u0027os\u0027).system(\u0027whoami\u0027),)]\"\n        return _run_pip, (payload,)\n```\n\n### Impact\n\nWho is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.\nWhat is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.\nSupply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.\n\n### Corresponding\n\nhttps://github.com/FredericDT\nhttps://github.com/Qhaoduoyu",
  "id": "GHSA-xp4f-hrf8-rxw7",
  "modified": "2026-07-21T19:24:21Z",
  "published": "2025-08-26T21:34:37Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-xp4f-hrf8-rxw7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-71344"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/commit/1931c2d04eaca8d20597705ff39cab78ba364e4b"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-xp4f-hrf8-rxw7"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mmaitre314/picklescan"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/picklescan/PYSEC-2026-1792.yaml"
    },
    {
      "type": "WEB",
      "url": "https://pypi.org/project/picklescan"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-undetected-ensurepip-run-pip-function"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Picklescan is missing detection when calling built-in python ensurepip._run_pip"
}

PYSEC-2026-1792

Vulnerability from pysec - Published: 2026-07-07 16:03 - Updated: 2026-07-07 17:25

Details

Summary

Using ensurepip._run_pip function, which is a built-in python library function to execute remote pickle file.

Details

The attack payload executes in the following steps:

PoC

from ensurepip import _run_pip

class EvilEnsurepipRunpip:
    def __reduce__(self):
        payload = "[(__import__('os').system('whoami'),)]"
        return _run_pip, (payload,)

Impact

Corresponding

https://github.com/FredericDT https://github.com/Qhaoduoyu

Impacted products

Name	purl
picklescan	pkg:pypi/picklescan

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "package": {
        "ecosystem": "PyPI",
        "name": "picklescan",
        "purl": "pkg:pypi/picklescan"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.30"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ],
      "versions": [
        "0.0.1",
        "0.0.10",
        "0.0.11",
        "0.0.12",
        "0.0.13",
        "0.0.14",
        "0.0.15",
        "0.0.16",
        "0.0.17",
        "0.0.18",
        "0.0.19",
        "0.0.2",
        "0.0.20",
        "0.0.21",
        "0.0.22",
        "0.0.23",
        "0.0.24",
        "0.0.25",
        "0.0.26",
        "0.0.27",
        "0.0.28",
        "0.0.29",
        "0.0.3",
        "0.0.4",
        "0.0.5",
        "0.0.6",
        "0.0.7",
        "0.0.8",
        "0.0.9"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-71344",
    "GHSA-xp4f-hrf8-rxw7"
  ],
  "details": "### Summary\n\nUsing ensurepip._run_pip function, which is a built-in python library function to execute remote pickle file.\n\n### Details\n\nThe attack payload executes in the following steps:\n\nFirst, the attacker craft the payload by calling to ensurepip._run_pip function in reduce method\nThen when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn\u0027t dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.\n\n### PoC\n\n```\nfrom ensurepip import _run_pip\n\nclass EvilEnsurepipRunpip:\n    def __reduce__(self):\n        payload = \"[(__import__(\u0027os\u0027).system(\u0027whoami\u0027),)]\"\n        return _run_pip, (payload,)\n```\n\n### Impact\n\nWho is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models.\nWhat is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded.\nSupply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.\n\n### Corresponding\n\nhttps://github.com/FredericDT\nhttps://github.com/Qhaoduoyu",
  "id": "PYSEC-2026-1792",
  "modified": "2026-07-07T17:25:02.689593Z",
  "published": "2026-07-07T16:03:02.448711Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-xp4f-hrf8-rxw7"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/commit/1931c2d04eaca8d20597705ff39cab78ba364e4b"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mmaitre314/picklescan"
    },
    {
      "type": "PACKAGE",
      "url": "https://pypi.org/project/picklescan"
    },
    {
      "type": "ADVISORY",
      "url": "https://github.com/advisories/GHSA-xp4f-hrf8-rxw7"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-71344"
    }
  ],
  "summary": "Picklescan is missing detection when calling built-in python ensurepip._run_pip"
}

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.

Detection rules are retrieved from Rulezet.

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.

Action not permitted

CVE-2025-71344 (GCVE-0-2025-71344)

FKIE_CVE-2025-71344

GHSA-XP4F-HRF8-RXW7

Summary

Details

PoC

Impact

Corresponding

PYSEC-2026-1792

Summary

Details

PoC

Impact

Corresponding

Tags

Sightings

Nomenclature

Related by attack behaviour