567 matches found
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-2025-205587
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...
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...
CVE-2025-62608
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...
CVE-2025-62608
MLX vulnerable to a heap-buffer-overflow in mlx::core::load() when parsing malicious NumPy .npy files. Prior to version 0.29.4, attacker-controlled files can trigger a 13-byte out-of-bounds read, leading to crash or information disclosure. The issue is fixed in version 0.29.4. Affected platforms:...
CVE-2025-62608 MLX has heap-buffer-overflow in load()
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...
CVE-2025-62608 MLX has heap-buffer-overflow in load()
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...
CVE-2025-62608 MLX has heap-buffer-overflow in load()
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...
EUVD-2025-198501
MLX has heap-buffer-overflow in load...
GHSA-W6VG-JG77-2QG6 MLX has heap-buffer-overflow in load()
Summary 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. Environment: - OS: Ubuntu 20.04.6 LTS - Compiler: Clang 19.1.7 Vulnerability The parser reads a 118-byte...
MLX has heap-buffer-overflow in load()
Summary 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. Environment: - OS: Ubuntu 20.04.6 LTS - Compiler: Clang 19.1.7 Vulnerability The parser reads a 118-byte...
PT-2025-47797
Name of the Vulnerable Software and Affected Versions MLX versions prior to 0.29.4 Description MLX, an array framework for machine learning on Apple silicon, contains a heap buffer overflow in the mlx::core::load function when processing malicious NumPy .npy files. A specially crafted file can...
MLX 安全漏洞
MLX is a machine learning framework open-sourced by ml-explore. A security vulnerability exists in MLX versions prior to 0.29.4 that stems from a heap buffer overflow when parsing a malicious NumPy file, which could lead to a crash or information disclosure...