CVE-2025-71365

picklescan before 0.0.33 fails to detect malicious pickle files that invoke numpy.f2py.crackfortran.myeval function through the reduce method. Attackers can craft malicious pickle files embedding arbitrary code that evades picklescan detection and executes remote code when loaded...

CVE-2025-71365

picklescan before 0.0.33 fails to detect malicious pickle files that invoke numpy.f2py.crackfortran.myeval function through the reduce method. Attackers can craft malicious pickle files embedding arbitrary code that evades picklescan detection and executes remote code when loaded...

CVE-2025-71365

The CVE affects picklescan (before 0.0.33) where the detector fails to catch malicious pickle payloads that invoke numpy.f2py.crackfortran.myeval via the reduce method, allowing arbitrary code execution when loaded. Root cause: detection bypass in pickle loading path. Impact: remote code executio...

EUVD-2025-210306

picklescan before 0.0.33 fails to detect malicious pickle files that invoke numpy.f2py.crackfortran.myeval function through the reduce method. Attackers can craft malicious pickle files embedding arbitrary code that evades picklescan detection and executes remote code when loaded...

CVE-2025-71339 Picklescan - Arbitrary Code Execution via numpy.f2py.crackfortran._eval_length Gadget

Picklescan before 0.0.33 fails to detect the numpy.f2py.crackfortran.evallength gadget in pickle reduce methods, allowing arbitrary code execution. Attackers can craft malicious pickle files that execute arbitrary Python code when loaded by victims who trust Picklescan's safety validation...

CVE-2025-71339

Affected software/component: Picklescan (versions prior to 0.0.33). Vulnerability/gadget: The numpy.f2py.crackfortran._eval_length gadget in pickle reduce methods can bypass safety validation, enabling arbitrary code execution when loading crafted pickle files. Impact (as stated): Arbitrary Pytho...

Deserialization of Untrusted Data

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Deserialization of Untrusted Data via the scanner.py deserialization scanning logic. An attacker can achieve remote code execution by crafting ...

GHSA-6556-FWC2-FG2P Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran._eval_length

Summary Picklescan uses the numpy.f2py.crackfortran.evallength function a NumPy F2PY helper to execute arbitrary Python code during unpickling. Details Picklescan fails to detect a malicious pickle that uses the gadget numpy.f2py.crackfortran.evallength in reduce, allowing arbitrary command...

EUVD-2025-205782

Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.getlincoef...

GHSA-RRXM-2PVV-M66X Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.getlincoef

Summary Picklescan uses the numpy.f2py.crackfortran.getlincoef function a NumPy F2PY helper to execute arbitrary Python code during unpickling. Details Picklescan fails to detect a malicious pickle that uses the gadget numpy.f2py.crackfortran.getlincoef in reduce, allowing arbitrary command...

Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.param_eval

Summary Picklescan uses numpy.f2py.crackfortran.parameval, which is a function in numpy to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.parameval function via reduce method....

EUVD-2025-205659

Picklescan is vulnerable to RCE via missing detection when calling numpy.f2py.crackfortran.parameval...

Deserialization of Untrusted Data

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Deserialization of Untrusted Data via using the numpy.f2py.crackfortran.parameval function. An attacker can execute arbitrary code by crafting ...

Deserialization of Untrusted Data

Overview picklescan is a Security scanner detecting Python Pickle files performing suspicious actions Affected versions of this package are vulnerable to Deserialization of Untrusted Data due to using the numpy.f2py.crackfortran.myeval function, which executes a remote pickle file. An attacker ca...

GHSA-3329-GHMP-JMV5 Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval

Summary Picklescan uses numpy.f2py.crackfortran.myeval, which is a function in numpy to execute remote pickle files. Details The attack payload executes in the following steps: - First, the attacker crafts the payload by calling the numpy.f2py.crackfortran.myeval function in its reduce method -...

Picklescan missing detection when calling numpy.f2py.crackfortran.getlincoef

Summary An unsafe deserialization vulnerability allows an attacker to execute arbitrary code on the host when loading a malicious pickle payload from an untrusted source. Details The numpy.f2py.crackfortran module exposes many functions that call eval on arbitrary strings of values. This is the...

EUVD-2025-205587

Picklescan missing detection when calling numpy.f2py.crackfortran.getlincoef...

GHSA-R8G5-CGF2-4M4M Picklescan missing detection when calling numpy.f2py.crackfortran.getlincoef

Summary An unsafe deserialization vulnerability allows an attacker to execute arbitrary code on the host when loading a malicious pickle payload from an untrusted source. Details The numpy.f2py.crackfortran module exposes many functions that call eval on arbitrary strings of values. This is the...

GHSA-CW6W-4RCX-XPHC Arbitrary file write in NumPy

init.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink attack on a temporary file...

[SECURITY] Fedora 30 Update: numpy-1.16.3-1.fc30

NumPy is a general-purpose array-processing package designed to efficiently manipulate large multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional arrays. NumPy is built on the Numeric code base and adds features introduced by numarray as wel...