Deserialization of Untrusted DataWeakness · CWE-502

CVE-2025-71367

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 0.0.34 fails to detect _operator.attrgetter function calls in pickle payloads, allowing attackers to bypass security checks. Remote attackers can craft malicious pickle files using _operator.attrgetter in reduce methods to execute arbitrary code when pickle.load() processes the file.

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 version 0.0.34 fails to detect _operator.attrgetter function calls embedded in pickle payload reduce methods. This allows malicious pickle files to bypass the security scanner and execute arbitrary code when unpickled, as _operator.attrgetter can be weaponized to access sensitive attributes and trigger code execution.

MitigationUpgrade picklescan to version 0.0.34 or later which includes detection for _operator.attrgetter. As a defense-in-depth measure, avoid using pickle.load() on untrusted data entirely and prefer safer serialization formats.

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 installation
    Run 'pip show picklescan' or check your project's dependencies (requirements.txt, package-lock.json, pyproject.toml) for the picklescan package
    Affected if picklescan is installed in your environment
  2. Determine installed picklescan version
    Run 'pip show picklescan' and note the Version field, or check your lock file for the installed version number
    Affected if The installed version is earlier than 0.0.34 (e.g., 0.0.33, 0.0.30, etc.)
  3. Verify if picklescan scans untrusted pickle files
    Review your code, scripts, or CI/CD pipelines that invoke picklescan to scan pickle files from external or untrusted sources
    Affected if picklescan is used to validate pickle files from untrusted sources

You are affected if picklescan version 0.0.33 or earlier is installed and used to scan pickle files from untrusted sources, as the scanner can be bypassed using _operator.attrgetter in __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 0.0.34 or later which includes detection for _operator.attrgetter. As a defense-in-depth measure, avoid using pickle.load() on untrusted data entirely and prefer safer serialization formats.

Recommended fix High confidence

picklescan 0.0.34

  1. Check the currently installed version of picklescan: pip show picklescan or picklescan --version
  2. Upgrade picklescan to version 0.0.34 or later: pip install picklescan>=0.0.34
  3. Verify the upgrade was successful by checking the version: pip show picklescan

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

Check whether your project pulls in CVE-2025-71367 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.

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-2025-71367 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
  • No spam, self-promotion, credentials, or personal data