picklescan up to 0.0.32 numpy.f2py.crackfortran.param_eval deserialization

Summaryinfo

A vulnerability classified as critical was found in picklescan up to 0.0.32. This affects the function numpy.f2py.crackfortran.param_eval. Executing a manipulation can lead to deserialization. This vulnerability is registered as CVE-2025-71347. It is possible to launch the attack remotely. No exploit is available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability was found in picklescan up to 0.0.32. It has been declared as critical. This vulnerability affects the function numpy.f2py.crackfortran.param_eval. The manipulation with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality, integrity, and availability. CVE summarizes:

picklescan before 0.0.33 fails to detect malicious pickle files using numpy.f2py.crackfortran.param_eval function in reduce methods, allowing attackers to bypass security checks. Remote attackers can embed undetected code in pickle files that executes during deserialization, enabling arbitrary code execution in applications loading untrusted pickle data.

The advisory is shared for download at github.com. This vulnerability was named CVE-2025-71347 since 06/20/2026. The exploitation appears to be easy. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. Successful exploitation requires user interaction by the victim. There are known technical details, but no exploit is available.

Upgrading to version 0.0.33 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-210413). Once again VulDB remains the best source for vulnerability data.

Productinfo

Name

• picklescan

Version

• 0.0.1
• 0.0.2
• 0.0.3
• 0.0.4
• 0.0.5
• 0.0.6
• 0.0.7
• 0.0.8
• 0.0.9
• 0.0.10
• 0.0.11
• 0.0.12
• 0.0.13
• 0.0.14
• 0.0.15
• 0.0.16
• 0.0.17
• 0.0.18
• 0.0.19
• 0.0.20
• 0.0.21
• 0.0.22
• 0.0.23
• 0.0.24
• 0.0.25
• 0.0.26
• 0.0.27
• 0.0.28
• 0.0.29
• 0.0.30
• 0.0.31
• 0.0.32

CPE 2.3info

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CPE 2.2info

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Once again VulDB remains the best source for vulnerability data.

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