Deserialization of Untrusted DataWeakness · CWE-502

CVE-2025-71362

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 unsafe deserialization when numpy.f2py.crackfortran functions call eval on arbitrary strings. Attackers can embed malicious code in pickle files that executes when loaded from untrusted sources.

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 unsafe deserialization attacks leveraging numpy.f2py.crackfortran functions, which internally call eval() on attacker-controlled strings embedded in malicious pickle files. When loaded from untrusted sources, these crafted pickle files can execute arbitrary code despite picklescan's scanning.

MitigationUpgrade picklescan to version 0.0.33 or later to obtain detection for numpy.f2py.crackfortran eval() exploitation. Additionally, avoid loading pickle files from untrusted sources regardless of scanner results.

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 check your package manager to retrieve the installed version number
    Affected if The installed version is below 0.0.33 (or the version cannot be determined, indicating an old or unversioned installation)
  2. Verify numpy presence
    Run 'pip show numpy' or check your dependencies to confirm numpy is installed in the environment where picklescan runs
    Affected if numpy is installed, as the vulnerability specifically exploits numpy.f2py.crackfortran functions that contain eval() calls
  3. Confirm pickle file scanning workflow
    Review your application's code or pipeline to determine if picklescan is actively used to scan pickle files loaded from external or untrusted sources
    Affected if Picklescan is used to scan pickle files originating from untrusted or external sources before loading them
  4. Check for unsafe pickle loading patterns
    Search your codebase for pickle.load(), pickle.loads(), or similar unpickling functions that handle data from untrusted input, and verify if picklescan is invoked on such inputs
    Affected if Your system loads pickle files from untrusted sources without first passing them through picklescan, or picklescan is invoked but uses a version vulnerable to this bypass

You are affected if picklescan version is below 0.0.33 AND your system uses picklescan to scan pickle files from untrusted sources that could contain malicious numpy.f2py.crackfortran payloads.

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 to obtain detection for numpy.f2py.crackfortran eval() exploitation. Additionally, avoid loading pickle files from untrusted sources regardless of scanner results.

Recommended fix High confidence

picklescan 0.0.33

  1. Check the current installed version of picklescan by running: pip show picklescan or pip list | grep picklescan
  2. Upgrade picklescan to version 0.0.33 or later by running: pip install picklescan>=0.0.33
  3. Verify the upgrade was successful by running: pip show picklescan and confirming the version is 0.0.33 or higher

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

Have this fixed Scoped from the published advisory
  • Consultation2.0 h
  • Implementation6.0 h
  • Testing3.0 h
  • Review / QA2.0 h
13.0 hours of engineering $2,290
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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-2025-71362 in production — separate from our analysis above.

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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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