Deserialization of Untrusted DataWeakness · CWE-502

CVE-2025-71340

HIGH · 8.1 CVSS v3.1 Published 2026-06-25
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 8 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 through 0.0.26 fails to detect malicious pickle files that invoke idlelib.pyshell.ModifiedInterpreter.runcode in __reduce__ methods. Attackers can embed undetected code in pickle files that executes arbitrary commands when the file is loaded via pickle.load(), enabling supply chain attacks on PyTorch models and saved Python objects. This is fixed in version 0.0.30.

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 versions up to 0.0.26 fail to detect malicious pickle files that abuse idlelib.pyshell.ModifiedInterpreter.runcode within __reduce__ methods. Attackers can craft pickled objects that execute arbitrary commands upon pickle.load(), enabling supply chain compromises via untrusted PyTorch models or Python object saves. The vulnerability is fixed in version 0.0.30.

MitigationUpgrade picklescan to version 0.0.30 or later. Additionally, avoid loading pickle files from untrusted sources and consider using safer serialization formats like JSON or protobuf where possible.

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 picklescan version
    Run `pip show picklescan` or `pip list | grep picklescan` to retrieve the installed version number
    Affected if The installed version is 0.0.26 or lower, or any version below 0.0.30 (the scanner lacks the fix for this detection gap)
  2. Confirm scan capability for ModifiedInterpreter
    Since the vulnerability is that the scanner fails to detect idlelib.pyshell.ModifiedInterpreter.runcode abuse in __reduce__ methods, you would need to test with a sample malicious pickle file leveraging this technique - however, this requires access to such a test file which is not provided
    Affected if Running a vulnerable version means the scanner may produce false negatives for pickles using the idlelib.pyshell.ModifiedInterpreter vector

You are affected if your installed picklescan version is 0.0.26 or lower (any version below 0.0.30), as the scanner will fail to detect pickle files that abuse idlelib.pyshell.ModifiedInterpreter.runcode within __reduce__ methods.

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 0.0.30 or later. Additionally, avoid loading pickle files from untrusted sources and consider using safer serialization formats like JSON or protobuf where possible.

Recommended fix High confidence

picklescan version 0.0.30

  1. Verify current picklescan version by running: pip show picklescan or pip list | grep picklescan
  2. Upgrade to version 0.0.30 or later using: pip install picklescan>=0.0.30
  3. Confirm the upgrade was successful by running: pip show picklescan and verifying the version number
  4. If using picklescan in automated pipelines, update any pinned version constraints to require picklescan>=0.0.30

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

Have this fixed Scoped from the published advisory
  • Consultation1.0 h
  • Implementation1.0 h
  • Testing2.0 h
  • Review / QA1.0 h
5.0 hours of engineering $860
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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-2025-71340 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
  • No weaponised exploit code, or anything meant to cause harm
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