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🐍 PyPI

GHSA-r7v6-mfhq-g3m2

Fickling has Code Injection vulnerability via pty.spawn()

Also known asCVE-2025-67748PYSEC-2025-113
Published
Dec 15, 2025
Updated
Jun 5, 2026
Affected
1 pkg
Patched
1 / 1
Exploits
None indexed

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk14th percentile+0.21%
0.00%0.25%0.49%0.73%0.0%0.2%Jan 26Apr 26Jun 26

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

Blast Radius

1 pkg affected
🐍fickling

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Fickling Assessment

Based on the test case provided in the original report below, this bypass was caused by pty missing from our block list of unsafe module imports (as previously documented in #108), rather than the unused variable heuristic. This led to unsafe pickles based on pty.spawn() being incorrectly flagged as LIKELY_SAFE, and was fixed in https://github.com/trailofbits/fickling/pull/187.

Original report

Summary

An unsafe deserialization vulnerability in Fickling allows a crafted pickle file to bypass the "unused variable" heuristic, enabling arbitrary code execution. This bypass is achieved by adding a trivial operation to the pickle file that "uses" the otherwise unused variable left on the stack after a malicious operation, tricking the detection mechanism into classifying the file as safe.

Details

Fickling relies on the heuristic of detecting unused variables in the VM's stack after execution. Opcodes like REDUCE, OBJ, and INST, which can be used for arbitrary code execution, leave a value on the stack that is often unused in malicious pickle files. This vulnerability enables a bypass by modifying the pickle file to use this leftover variable. A simple way to achieve this is to add a BUILD opcode that, in effect, adds a __setstate__ to the unused variable. This makes Fickling consider the variable "used," thus failing to flag the malicious file.

PoC

The following is a disassembled view of a malicious pickle file that bypasses Fickling's "unused variable" detection:

    0: \x80 PROTO      4
    2: \x95 FRAME      26
   11: \x8c SHORT_BINUNICODE 'pty'
   16: \x94 MEMOIZE    (as 0)
   17: \x8c SHORT_BINUNICODE 'spawn'
   24: \x94 MEMOIZE    (as 1)
   25: \x93 STACK_GLOBAL
   26: \x94 MEMOIZE    (as 2)
   27: \x8c SHORT_BINUNICODE 'id'
   31: \x94 MEMOIZE    (as 3)
   32: \x85 TUPLE1
   33: \x94 MEMOIZE    (as 4)
   34: R   REDUCE
   35: \x94 MEMOIZE    (as 5)
   36: \x8c SHORT_BINUNICODE 'gottem'
   44: \x94 MEMOIZE    (as 6)
   45: b   BUILD
   46: .   STOP

Here, the additions to the original pickle file can see on lines 35, 36, 44 and 45.

When analyzing this modified file, Fickling fails to identify it as malicious and reports it as "LIKELY_SAFE" as seen here:

{
    "severity": "LIKELY_SAFE",
    "analysis": "Warning: Fickling failed to detect any overtly unsafe code,but the pickle file may still be unsafe.Do not unpickle this file if it is from an untrusted source!\n\n",
    "detailed_results": {}
}

Impact

This allows an attacker to craft a malicious pickle file that can bypass fickling since it relies on the "unused variable" heuristic to flag pickle files as unsafe. A user who deserializes such a file, believing it to be safe, would inadvertently execute arbitrary code on their system. This impacts any user or system that uses Fickling to vet pickle files for security issues.

Affected Packages

1 total 1 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIficklingall versions0.1.6

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for fickling. O3's reachability analysis confirms whether the vulnerable code path is actually invoked in your application, so you act on real exposure instead of every transitive match.

  2. Fix

    Update fickling to 0.1.6 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-r7v6-mfhq-g3m2 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 pinpoints whether GHSA-r7v6-mfhq-g3m2 is reachable in your code and exactly where to fix it, then blocks exploitation in production at runtime until the patched version is deployed.

Tailored to GHSA-r7v6-mfhq-g3m2. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

## Fickling Assessment Based on the test case provided in the original report below, this bypass was caused by `pty` missing from our block list of unsafe module imports (as previously documented in #108), rather than the unused variable heuristic. This led to unsafe pickles based on `pty.spawn()` being incorrectly flagged as `LIKELY_SAFE`, and was fixed in https://github.com/trailofbits/fickling/pull/187. ## Original report ### Summary An unsafe deserialization vulnerability in Fickling allows a crafted pickle file to bypass the "unused variable" heuristic, enabling arbitrary code executi
O3 Security · Impact-Aware SCA

Is GHSA-r7v6-mfhq-g3m2 in your dependencies?

O3 detects GHSA-r7v6-mfhq-g3m2 across PyPI dependencies and uses function-level reachability to confirm whether the vulnerable code path is actually reachable — not just present. No false positives.