Attack Chain

1. Attacker crafts malicious pickle file: An attacker generates a Python pickle file containing serialized data that, when deserialized, exploits the torch._dynamo.guards.GuardBuilder.get function in its reduce methods to embed arbitrary commands.
2. Distribution of malicious pickle file: The attacker distributes this malicious pickle file to a victim, potentially via email attachments, compromised package repositories, or direct downloads.
3. Victim scans file with picklescan: The victim system, or an application interacting with the file, uses picklescan (version prior to 0.0.28) to scan the received pickle file for malicious content.
4. picklescan fails detection: Due to the flaw described in CVE-2025-71353, picklescan fails to identify the embedded malicious payload within the specially crafted pickle file, deeming it safe.
5. Malicious pickle file is loaded: An application on the victim's system, trusting the scan results or lacking further validation, proceeds to load and deserialize the now "clean" malicious pickle file.
6. Arbitrary Command Execution: During the deserialization process, the embedded arbitrary commands are executed in the context of the vulnerable application, leading to remote code execution on the victim's system.

Impact

Successful exploitation of CVE-2025-71353 leads to remote code execution (RCE) on the compromised system. This grants attackers the ability to execute arbitrary commands, potentially leading to full system compromise, data theft, data alteration, or the deployment of further malware. The vulnerability has a CVSS v3.1 base score of 8.1 (High), reflecting high impacts on confidentiality and integrity, as attackers can bypass an intended security control to achieve their objectives. All applications and users relying on picklescan for validating Python pickle files are at risk if running affected versions.

Recommendation

• Upgrade picklescan to version 0.0.28 or later immediately to remediate CVE-2025-71353.
• Review and update any systems or applications that use picklescan to scan incoming pickle files to ensure they are using the patched version.
• Implement strong input validation and integrity checks for all deserialized data, especially from untrusted sources, even after scanning.