Deserialization of Untrusted DataWeakness · CWE-502

CVE-2025-71347

HIGH · 8.1 CVSS v3.1 Published 2026-07-04
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
88/100
Remediation priority · High
Remotely reachable No privileges 7 weeks old

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
picklescan before 0.0.33 fails to detect malicious pickle files using numpy.f2py.crackfortran.param_eval function in reduce methods, allowing attackers to bypass security checks. Remote attackers can embed undetected code in pickle files that executes during deserialization, enabling arbitrary code execution in applications loading untrusted pickle data.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

picklescan before 0.0.33 fails to detect malicious pickle files that use the numpy.f2py.crackfortran.param_eval function within reduce methods, allowing attackers to embed and execute arbitrary code during deserialization by bypassing the scanner's security checks.

MitigationUpgrade picklescan to version 0.0.33 or later which includes detection for this bypass technique, and ensure applications loading untrusted pickle data implement defense-in-depth beyond file scanning.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Network
Complexity
Low
Privileges
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
None

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

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Identify installed picklescan version
    Run 'pip show picklescan' or 'pip list | grep picklescan' to see the installed version number
    Affected if The version listed is lower than 0.0.33 (e.g., 0.0.32, 0.0.30, etc.)
  2. Confirm pickle file scanning workflow
    Review application code or configuration to determine if picklescan is used to scan pickle files from untrusted sources
    Affected if The application uses picklescan to validate pickle files from external or untrusted inputs
  3. Verify numpy dependency usage
    Check if the application environment has numpy installed and if pickle files are loaded using pickle.load(), pickle.loads(), or similar deserialization methods
    Affected if The application loads pickle files and numpy is present in the environment, allowing the param_eval bypass to function

You are affected if picklescan version is below 0.0.33 AND your application uses picklescan to scan pickle files from untrusted sources that may contain the numpy.f2py.crackfortran.param_eval bypass technique.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

dbcve · scoped
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Upgrade picklescan to version 0.0.33 or later which includes detection for this bypass technique, and ensure applications loading untrusted pickle data implement defense-in-depth beyond file scanning.

Recommended fix High confidence

0.0.33

  1. Upgrade picklescan to version 0.0.33 or later using your package manager (e.g., pip install picklescan>=0.0.33)
  2. Verify the installed version matches or exceeds 0.0.33 by running: picklescan --version
  3. Regenerate or re-scan any previously scanned pickle files to ensure the updated scanner properly detects malicious payloads using numpy.f2py.crackfortran.param_eval

Generated from the published advisory — verify against the referenced sources before acting.

Have this fixed Scoped from the published advisory
  • Consultation2.0 h
  • Implementation4.0 h
  • Testing2.0 h
  • Review / QA1.0 h
9.0 hours of engineering $1,600
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Scan for this in your stack

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dbcve dependency scanner

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2025-71347 in production — separate from our analysis above.

No notes yet

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • Verified mitigations, workarounds, and config changes
  • Version or environment caveats, and links to real fixes
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