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...

CVE-2025-62608: Heap-based Buffer Overflow

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...

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...

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...

EUVD-2018-0107

Malware in sbrugna...

EUVD-2018-0108

Malware in sbrugna...

EUVD-2021-0151

Malware in sbrugna...

EUVD-2017-0080

Malware in sbrugna...

EUVD-2025-29398

Malicious code in bioql PyPI...

EUVD-2022-7375

Malicious code in bioql PyPI...

EUVD-2025-7056

Malicious code in bioql PyPI...

TencentOS Server 3: numpy (TSSA-2022:0057)

The version of Tencent Linux installed on the remote TencentOS Server 3 host is prior to tested version. It is, therefore, affected by a vulnerability as referenced in the TSSA-2022:0057 advisory. Package updates are available for TencentOS Server 3 that fix the following vulnerabilities:...

CVE-2022-41884

TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be...