Deserialization of Untrusted DataWeakness · CWE-502

CVE-2025-71370

HIGH · 8.1 CVSS v3.1 Published 2026-06-23
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

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 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().

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 0.0.28 fails to detect malicious torch.jit.unsupported_tensor_ops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and achieve arbitrary code execution when loaded via pickle.load().

MitigationUpgrade picklescan to version 0.0.28 or later to patch the detection bypass. Additionally, avoid loading untrusted pickle files and consider using safer deserialization formats like JSON, or implement a restricted unpickler that limits available operations.

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. Check if picklescan is installed
    Run 'pip show picklescan' or 'pip list | grep picklescan' to see if the package is present in your Python environment
    Affected if picklescan is installed and you rely on it to scan pickle files from untrusted sources
  2. Determine the installed version
    Run 'pip show picklescan' and look for the 'Version:' field, or run 'pip list --format=freeze | grep picklescan'
    Affected if The version listed is earlier than 0.0.28 (e.g., 0.0.27, 0.0.26, etc.)
  3. Compare against affected version range
    Compare your installed version number to the known vulnerable range: versions prior to 0.0.28 are affected
    Affected if Your installed version is 0.0.27 or any version lower than 0.0.28
  4. Identify usage context
    Check if picklescan is used in automated pipelines, user uploads, or any workflow where it scans pickle files from untrusted or external sources
    Affected if picklescan is used to validate untrusted pickle files and the installed version is below 0.0.28

You are affected if picklescan is installed at a version earlier than 0.0.28 and you rely on it to detect malicious pickle files containing torch.jit.unsupported_tensor_ops.execWrapper calls.

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 0.0.28 or later to patch the detection bypass. Additionally, avoid loading untrusted pickle files and consider using safer deserialization formats like JSON, or implement a restricted unpickler that limits available operations.

Recommended fix Moderate confidence

picklescan version 0.0.28 or later

  1. Check the current installed version of picklescan by running: pip show picklescan or pip list | grep picklescan
  2. Upgrade picklescan to version 0.0.28 or later using: pip install picklescan>=0.0.28
  3. Verify the upgrade was successful by running: pip show picklescan and confirming the version is 0.0.28 or higher
  4. Test that picklescan now properly detects the torch.jit.unsupported_tensor_ops.execWrapper malicious function by scanning a test pickle file if available

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
  • Testing3.0 h
  • Review / QA2.0 h
11.0 hours of engineering $1,930
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Scan for this in your stack

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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-2025-71370 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
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  • Version or environment caveats, and links to real fixes
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