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CVE-2025-71372VulnerabilityPublished

Picklescan versions before 0.0.33 fail to detect a specific malicious gadget in pickle __reduce__ methods, enabling attackers to execute arbitrary Python code by crafting malicious pickle files

Affects picklescanSource GCVE Database

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Not known to be exploited · CVSS 8.1 High : upgrade to 0.0.33 soon.

Data as of 30 Oct 2026, 06:59 UTC

CVSS 3.1 base score
8.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 41% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.0.33
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 4 Jul 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 29 Oct 2026.

What to do

Upgrade picklescan to 0.0.33.

Affected software

ProductAffectedFixed in
PyPIpicklescanpkg:pypi/picklescanOther threatsAffected
  • <0.0.33
Fixed in
  • 0.0.33

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

A fix is available in Picklescan version 0.0.33 and later. Users should upgrade to version 0.0.33 or newer to mitigate this vulnerability. No other mitigation guidance is provided.

Description

Picklescan versions before 0.0.33 fail to detect a specific malicious gadget in pickle __reduce__ methods, enabling attackers to execute arbitrary Python code by crafting malicious pickle files. This bypasses Picklescan's safety checks and can lead to supply-chain poisoning of shared model files.

References

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