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CVE-2025-67748VulnerabilityPublished

CVE-2025-67748: trailofbits fickling · Incomplete List of Disallowed Inputs

Affects trailofbits ficklingSource CVE Database V5

0

Not known to be exploited · CVSS 7.1 High : upgrade to 0.1.6 soon.

Data as of 26 Oct 2026, 06:26 UTC

CVSS 4.0 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 18% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 0.1.6
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 16 Dec 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: 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 2026-10-26.

What to do

Upgrade trailofbits fickling to 0.1.6.

Affected software

ProductAffectedFixed in
PyPIficklingpkg:pypi/ficklingOther threatsAffected
  • <0.1.6
Fixed in
  • 0.1.6

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

AI-suggested

1. Upgrade fickling to version 0.1.6 or later immediately to ensure the 'pty' module is included in the block list of unsafe imports. 2. Implement additional layers of validation for pickle files beyond fickling, such as sandboxed deserialization environments or alternative safer serialization formats (e.g., JSON, protobuf) where feasible. 3. Restrict the use of pickle deserialization to trusted sources only and enforce strict access controls on systems processing pickle files. 4. Monitor and audit usage of fickling and pickle processing pipelines for anomalous activity or unexpected pickle files. 5. Educate developers and security teams about the risks of pickle deserialization and the importance of using updated analysis tools. 6. Consider integrating runtime monitoring or endpoint detection solutions to detect suspicious behaviors resulting from malicious pickle deserialization. 7. Review and update internal security policies to include regular updates and vulnerability assessments of security tooling like fickling.

Description

Fickling is a Python pickling decompiler and static analyzer. Versions prior to 0.1.6 had a bypass caused by `pty` missing from the block list of unsafe module imports. This led to unsafe pickles based on `pty.spawn()` being incorrectly flagged as `LIKELY_SAFE`, and was fixed in version 0.1.6. This impacted any user or system that used Fickling to vet pickle files for security issues.

References

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