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The vulnerability exists in the PyFory serialization library’s fallback mechanism. When deserializing data, PyFory can be forced to use the insecure Python `pickle` module as a fallback serializer. An attacker can craft a malicious serialized payload that triggers this fallback path. When the vulnerable application deserializes this untrusted data using PyFory, it inadvertently calls `pickle.loads()` on the attacker-controlled data. The `pickle` module executes Python code during deserialization, leading to arbitrary code execution within the application’s context. This allows full compromise of the system running the vulnerable PyFory application.
DailyCVE Form:
Platform: PyFory
Version: 0.12.0-0.12.2
Vulnerability: Arbitrary Code Execution
Severity: Critical
date: 10/01/2025
Prediction: 2025-10-15
What Undercode Say:
Analytics:
`pip show pyfory`
`grep -r “pyfory.deserialize” .`
`python3 -c “import pyfory; print(pyfory.__version__)”`
Exploit:
import pyfory Crafted malicious payload malicious_data = b'\x80\x04\x95\x1a\x00\x00\x00\x00\x00\x00\x00\x8c\x08__main__\x94\x8c\x07exploit\x94\x93\x94.' Triggers pickle fallback pyfory.deserialize(malicious_data) Executes code
Protection from this CVE:
Upgrade to 0.12.3.
Validate data sources.
Disable pickle fallback.
Impact:
Remote Code Execution.
Complete System Compromise.
Data Breach Potential.
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Sources:
Reported By: nvd.nist.gov
Extra Source Hub:
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