Vulnerability-Lookup

GHSA-CC5P-54X3-HCF8

Vulnerability from github – Published: 2026-06-17 18:35 – Updated: 2026-06-18 14:43

Withdrawn 2026-06-18

Summary

Duplicate Advisory: Picklescan (scan_pytorch) Bypass via dynamic eval MAGIC_NUMBER

Details

Duplicate Advisory

This advisory has been withdrawn because it is a duplicate of GHSA-97f8-7cmv-76j2. This link is maintained to preserve external references.

Original Description

picklescan before 1.0.3 contains a scanning bypass vulnerability in the scan_pytorch function that allows attackers to embed malicious magic numbers via dynamic eval using the reduce trick. Attackers can craft malicious PyTorch payloads that evade picklescan detection while remaining executable, enabling arbitrary code execution when loaded with torch.load().

Severity

7.1 (High)


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

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{
  "affected": [
    {
      "database_specific": {
        "last_known_affected_version_range": "\u003c 1.0.3"
      },
      "package": {
        "ecosystem": "PyPI",
        "name": "picklescan"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [],
  "database_specific": {
    "cwe_ids": [
      "CWE-95"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-06-18T14:43:33Z",
    "nvd_published_at": "2026-06-17T17:17:25Z",
    "severity": "HIGH"
  },
  "details": "## Duplicate Advisory\n\nThis advisory has been withdrawn because it is a duplicate of\u00a0GHSA-97f8-7cmv-76j2. This link is maintained to preserve external references.\n\n## Original Description\npicklescan before 1.0.3 contains a scanning bypass vulnerability in the scan_pytorch function that allows attackers to embed malicious magic numbers via dynamic eval using the __reduce__ trick. Attackers can craft malicious PyTorch payloads that evade picklescan detection while remaining executable, enabling arbitrary code execution when loaded with torch.load().",
  "id": "GHSA-cc5p-54x3-hcf8",
  "modified": "2026-06-18T14:43:33Z",
  "published": "2026-06-17T18:35:57Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/security/advisories/GHSA-97f8-7cmv-76j2"
    },
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-53875"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/commit/134179474539648ba7dee1317959529fbd0e7f89"
    },
    {
      "type": "WEB",
      "url": "https://github.com/mmaitre314/picklescan/commit/2a8383cfeb4158567f9770d86597300c9e508d0f"
    },
    {
      "type": "WEB",
      "url": "https://www.vulncheck.com/advisories/picklescan-scanning-bypass-via-dynamic-eval-in-scan-pytorch"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/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"
    }
  ],
  "summary": "Duplicate Advisory: Picklescan (scan_pytorch) Bypass via dynamic eval MAGIC_NUMBER",
  "withdrawn": "2026-06-18T14:43:33Z"
}

CVE-2026-53875 (GCVE-0-2026-53875)

Vulnerability from cvelistv5 – Published: 2026-06-17 15:05 – Updated: 2026-06-17 17:50

Title

picklescan - Scanning Bypass via Dynamic Eval in scan_pytorch

Summary

picklescan before 1.0.3 contains a scanning bypass vulnerability in the scan_pytorch function that allows attackers to embed malicious magic numbers via dynamic eval using the __reduce__ trick. Attackers can craft malicious PyTorch payloads that evade picklescan detection while remaining executable, enabling arbitrary code execution when loaded with torch.load().

Severity

7.1 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-06-17 17:50 UTC

CWE

CWE-95 - Improper Neutralization of Directives in Dynamically Evaluated Code ('Eval Injection')

Assigner

VulnCheck mitre root

References

4 references

URL	Tags
https://github.com/mmaitre314/picklescan/security…	vendor-advisory
https://github.com/mmaitre314/picklescan/commit/2…	patch
https://github.com/mmaitre314/picklescan/commit/1…	patch
https://www.vulncheck.com/advisories/picklescan-s…	third-party-advisory

Impacted products

1 product

Vendor	Product	Version
picklescan	picklescan	Affected: 0 , < 1.0.3 (semver) Unaffected: 1.0.3 (semver) cpe:2.3:a:mmaitre314:picklescan::::::::

Date Public

2026-02-16 00:00

Credits

zpbrent

Show details on NVD website

JSON

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        "metrics": [
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                "id": "CVE-2026-53875",
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                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-06-17T17:50:29.213368Z",
                "version": "2.0.3"
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          "dateUpdated": "2026-06-17T17:50:32.410Z",
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          "shortName": "CISA-ADP"
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            "attackComplexity": "LOW",
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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.

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.