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 ...

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...

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...

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...

EUVD-2025-205782

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

PT-2026-51383

Name of the Vulnerable Software and Affected Versions Picklescan versions prior to 0.0.33 Description Picklescan fails to detect the numpy.f2py.crackfortran. eval length gadget within pickle reduce methods. This allows attackers to craft malicious pickle files that execute arbitrary Python code...

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....

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 ...

EUVD-2025-205659

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

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 -...

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...

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 -...

EUVD-2025-205638

Picklescan is vulnerable to RCE through missing detection when calling numpy.f2py.crackfortran.myeval...

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...

PT-2026-55669

Name of the Vulnerable Software and Affected Versions picklescan versions prior to 0.0.33 Description The software fails to detect malicious pickle files that utilize the numpy.f2py.crackfortran.param eval function within reduce methods. This flaw allows attackers to bypass security checks by...

python39:3.9 security update

modwsgi numpy python39 3.9.25-2 - Add explicit BR: libxcrypt-devel - Properly apply exported CFLAGS for dtrace/systemtap builds - Update to Python 3.9.25 - Move sysconfigdatadlinux.py to the debug subpackage - Fedora contributions by: Bjorn Esser Charalampos Stratakis Karolina Surma Tomas Orsava...

Heap-based Buffer Overflow

MLX is vulnerable to Heap-based Buffer Overflow. The vulnerability is due to a 13-byte out-of-bounds read when parsing malicious NumPy .npy files, where an attacker-controlled file causes a crash or information disclosure, and attackers can exploit this by crafting malicious .npy files to gain...

PYSEC-2025-138

MLX is an array framework for machine learning on Apple silicon. Prior to version 0.29.4, there is a heap buffer overflow in mlx::core::load when parsing malicious NumPy .npy files. Attacker-controlled file causes 13-byte out-of-bounds read, leading to crash or information disclosure. This issue...