CVE-2025-71359 (GCVE-0-2025-71359)

Vulnerability from cvelistv5 – Published: 2026-07-04 01:23 – Updated: 2026-07-04 01:23
VLAI
Title
picklescan - Unsafe Deserialization via lib2to3.pgen2.grammar.Grammar.loads
Summary
picklescan before 0.0.29 fails to detect malicious pickle payloads that utilize lib2to3.pgen2.grammar.Grammar.loads in the reduce method, allowing remote code execution. Attackers can craft pickle files embedding dangerous code that evades picklescan detection and executes during pickle.load() deserialization.
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
CWE
  • CWE-502 - Deserialization of Untrusted Data
Assigner
References
Impacted products
Vendor Product Version
picklescan picklescan Affected: 0 , < 0.0.29 (semver)
Unaffected: 0.0.29 (semver)
Create a notification for this product.
Date Public
2025-08-26 00:00
Credits
FredericDT
Show details on NVD website
To clipboard 

{
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          "product": "picklescan",
          "vendor": "picklescan",
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            },
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              "version": "0.0.29",
              "versionType": "semver"
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      ],
      "datePublic": "2025-08-26T00:00:00.000Z",
      "descriptions": [
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          "value": "picklescan before 0.0.29 fails to detect malicious pickle payloads that utilize lib2to3.pgen2.grammar.Grammar.loads in the reduce method, allowing remote code execution. Attackers can craft pickle files embedding dangerous code that evades picklescan detection and executes during pickle.load() deserialization."
        }
      ],
      "metrics": [
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            "Recovery": "NOT_DEFINED",
            "Safety": "NOT_DEFINED",
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            "attackRequirements": "PRESENT",
            "attackVector": "NETWORK",
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            "baseSeverity": "HIGH",
            "exploitMaturity": "NOT_DEFINED",
            "privilegesRequired": "NONE",
            "providerUrgency": "NOT_DEFINED",
            "subAvailabilityImpact": "NONE",
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            "valueDensity": "NOT_DEFINED",
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            "userInteraction": "REQUIRED",
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              "description": "Deserialization of Untrusted Data",
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      "providerMetadata": {
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        "orgId": "83251b91-4cc7-4094-a5c7-464a1b83ea10",
        "shortName": "VulnCheck"
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          "name": "GitHub Security Advisory (GHSA-f54q-57x4-jg88)",
          "tags": [
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          "tags": [
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      ],
      "title": "picklescan - Unsafe Deserialization via lib2to3.pgen2.grammar.Grammar.loads",
      "x_generator": {
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    "assignerShortName": "VulnCheck",
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    "datePublished": "2026-07-04T01:23:35.892Z",
    "dateReserved": "2026-06-20T12:55:02.882Z",
    "dateUpdated": "2026-07-04T01:23:35.892Z",
    "state": "PUBLISHED"
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  }
}


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.