CWE-184Weakness · CWE-184

CVE-2026-56315

CRITICAL · 9.8 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 →
100/100
Remediation priority · Urgent
Remotely reachable No privileges Zero-click

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 1.0.4 fails to block at least seven Python standard library modules (including uuid, _osx_support, _aix_support, _pyrepl.pager, and imaplib) exposing eight functions that provide direct arbitrary command execution. Attackers can craft malicious pickle files importing these unblocked modules to achieve remote code execution while bypassing picklescan's safety validation entirely.

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 · moderate confidence

picklescan before 1.0.4 is a Python pickle file security scanner that fails to block at least seven Python standard library modules (uuid, _osx_support, _aix_support, _pyrepl.pager, imaplib, and two others) containing eight functions that enable arbitrary command execution. Attackers can craft malicious pickle files that import these unblocked modules to achieve remote code execution, completely bypassing picklescan's safety validation.

MitigationUpgrade to picklescan 1.0.4 or later which should include these dangerous modules in its blocklist. As a defense-in-depth measure, avoid loading pickle files from untrusted sources entirely and consider safer serialization formats like JSON.

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
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

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

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 -i picklescan
    Affected if picklescan is not installed - the tool is not present in the environment
  2. Determine installed picklescan version
    Run: pip show picklescan and note the Version field
    Affected if version is below 1.0.4 (e.g., 1.0.3, 1.0.2, etc.) - the blocklist is incomplete
  3. Verify blocklist includes dangerous modules
    Inspect the source code or configuration where blocklist is defined; look for modules: uuid, _osx_support, _aix_support, _pyrepl.pager, imaplib
    Affected if any of these modules are missing from the blocklist - RCE via pickle is possible
  4. Test with a benign pickle that imports dangerous module
    Create a test pickle using the pickle module with: pickle.dumps({'import': 'uuid'}) and scan it with picklescan to see if import is blocked
    Affected if picklescan allows the import without warning - the blocklist is bypassed

If picklescan is installed with a version before 1.0.4 and the dangerous modules are not blocked, the environment is vulnerable to RCE through malicious pickle files.

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 to picklescan 1.0.4 or later which should include these dangerous modules in its blocklist. As a defense-in-depth measure, avoid loading pickle files from untrusted sources entirely and consider safer serialization formats like JSON.

Recommended fix High confidence

1.0.4

  1. Verify the current installed version of picklescan by running: pip show picklescan
  2. Upgrade picklescan to version 1.0.4 or later by running: pip install picklescan>=1.0.4
  3. Verify the upgrade was successful by running: pip show picklescan and confirming the version is 1.0.4 or higher
  4. If using picklescan in automated scanning pipelines, verify that your integration still functions correctly with the new version

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

Have this fixed Scoped from the published advisory
  • Consultation2.0 h
  • Implementation2.0 h
  • Testing3.0 h
  • Review / QA1.0 h
8.0 hours of engineering $1,390
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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-2026-56315 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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