Vulnerability-Lookup

GHSA-7JM4-F7VJ-6PCC

Vulnerability from github – Published: 2026-07-01 00:34 – Updated: 2026-07-01 00:34

Details

Picklescan before 0.0.25 fails to detect unsafe global functions in the Numpy library, allowing attackers to bypass static analysis and execute arbitrary code during deserialization. Attackers can craft malicious pickle files using numpy.testing._private.utils.runstring within the reduce method to import dangerous libraries like os and execute arbitrary OS commands when the pickle file is loaded.

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

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{
  "affected": [],
  "aliases": [
    "CVE-2025-71355"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-184"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-30T23:16:51Z",
    "severity": "HIGH"
  },
  "details": "Picklescan before 0.0.25 fails to detect unsafe global functions in the Numpy library, allowing attackers to bypass static analysis and execute arbitrary code during deserialization. Attackers can craft malicious pickle files using numpy.testing._private.utils.runstring within the reduce method to import dangerous libraries like os and execute arbitrary OS commands when the pickle file is loaded.",
  "id": "GHSA-7jm4-f7vj-6pcc",
  "modified": "2026-07-01T00:34:01Z",
  "published": "2026-07-01T00:34:01Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-fj43-3qmq-673f"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-71355"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/picklescan-arbitrary-code-execution-via-unsafe-numpy-function-detection-bypass"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "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/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",
      "type": "CVSS_V4"
    }
  ]
}

CVE-2025-71355 (GCVE-0-2025-71355)

Vulnerability from cvelistv5 – Published: 2026-06-30 22:08 – Updated: 2026-07-01 14:55

Title

Picklescan - Arbitrary Code Execution via Unsafe Numpy Function Detection Bypass

Summary

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

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-07-01 14:55 UTC

CWE

CWE-184 - Incomplete List of Disallowed Inputs

Assigner

VulnCheck CNA under the mitre root

CNA scorecard B 84/100 over 5496 records in the last 180 days details

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 , < 0.0.25 (semver) Unaffected: 0.0.25 (semver) cpe:2.3:a:mmaitre314:picklescan::::::::

Date Public

2025-04-06 00:00

Credits

SeaW1nd

Show details on NVD website

JSON

To clipboard

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                  },
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                "timestamp": "2026-07-01T14:55:28.882678Z",
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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.

Vulnerability timeline

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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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