573 matches found
psd-tools composite/numpy has uncontrolled memory allocation via crafted PSD geometry
Summary PSDImage.composite and .numpy allocate the output image buffer from the PSD's header geometry width × height × channels × depth, and per-layer rectangles before validating those values against the actual file contents. A tiny crafted PSD declaring huge dimensions causes a multi-gigabyte...
CVE-2026-59991 psd-tools: Uncontrolled memory allocation in psd-tools composite/numpy via crafted PSD geometry
psd-tools is a Python package for working with Adobe Photoshop PSD files. Prior to 1.17.4, PSDImage.composite and PSDImage.numpy allocated output buffers from attacker-controlled PSD header geometry, including width, height, channels, depth, and per-layer rectangles, before validating those value...
CVE-2019-6446
CVE-2019-6446 Выполнение команд при десериализации Numpy NumPy — мощная библиотека Python, используемая в основном для выполнения вычислений над многомерными массивами. По оценкам экспертов, уязвимость присутствует в версиях до 1.16.0 включительно. Рекомендация по исправлению — удалить параметр...
numpy-1.13.1
Travis CI Status --- NumPy is the fundamental package needed for scientific computing with Python. This package contains: a powerful N-dimensional array object sophisticated broadcasting functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random...
[SECURITY] Fedora 45 Update: python-asteval-1.0.10-1.fc45
ASTEVAL is a safeish evaluator of Python expressions and statements, using Python's ast module. The idea is to provide a simple, safe, and robust miniature mathematical language that can handle user-input. The emphasis here is on mathematical expressions, and so many functions from numpy are...
CVE-2026-68513
OpenEXR is the reference implementation and specification for the EXR image format, widely used in the motion picture industry. Versions 3.3.0 through 3.3.12 and 3.4.0 through 3.4.13 contain a heap buffer overflow in PyOpenEXR triggered by a channel-name key collision between literal and prefixed...
CVE-2026-68513
CVE-2026-68513 is a heap buffer overflow in PyOpenEXR (the Python binding of the OpenEXR library). When separate_channels=false, the channelNameToRGBA() function coalesces channel results into a shared RGB array. A crafted flat scanline EXR file containing both a literal channel name (e.g., left)...
EUVD-2026-65705
OpenEXR is the reference implementation and specification for the EXR image file format, widely used in the motion picture industry. In versions 3.3.0 through 3.3.12 and 3.4.0 through 3.4.13, the PyOpenEXR Python bindings return stale heap data when reading a crafted deep scanline EXR that uses...
GHSA-9W56-46F6-3QHX asteval Sandbox Escape: arbitrary native memory read/write via numpy ctypes in default asteval Interpreter
Summary With its default configuration numpy enabled, import disabled, asteval's Interpreter lets an attacker-controlled expression obtain a raw arbitrary process-memory read and write primitive, without using import, any dunder attribute, or eval/exec/getattr. Arbitrary in-process read/write is...
asteval Sandbox Escape: arbitrary native memory read/write via numpy ctypes in default asteval Interpreter
Summary With its default configuration numpy enabled, import disabled, asteval's Interpreter lets an attacker-controlled expression obtain a raw arbitrary process-memory read and write primitive, without using import, any dunder attribute, or eval/exec/getattr. Arbitrary in-process read/write is...
Malicious code in numpyp (PyPI)
--- -= Per source details. Do not edit below this line.=- Source: amazon-inspector 971ce16c4710dfddc439c30ec2fc190001171f79fcd66f718ad358a43ecdf876 Package name numpyp is a one-character edit of numpy top-1 PyPI package and PKG-INFO advertises it as 'the simplest module for quick work with files'...
K000162792: Numpy vulnerabilities CVE-2021-34141, CVE-2021-33430, CVE-2021-41496, CVE-2021-41495
Security Advisory Description CVE-2021-34141 An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely...
CLSA-2026-1781139192 TuxCare security update for numpy (1 CVE)
TuxCare rebuilt numpy to address 1 CVE. Fixed in 1.21.0.post1+tuxcare...
OPENSUSE-SU-2026:11371-1 python313-numpy-2.4.6-1.1 on GA media
These are all security issues fixed in the python313-numpy-2.4.6-1.1 package on the GA media of openSUSE Tumbleweed...
[SECURITY] Fedora 44 Update: python-orjson-3.11.9-3.fc44
orjson is a fast, correct Python JSON library supporting dataclasses, datetimes, and numpy...
[SECURITY] Fedora 43 Update: python-orjson-3.11.9-3.fc43
orjson is a fast, correct Python JSON library supporting dataclasses, datetimes, and numpy...
EUVD-2026-18522
vLLM: Processing differential in multi-channel audio downmixing enables hidden-input/moderation bypass for audio models...
PYSEC-2026-1783 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...
PYSEC-2026-1889 sagemaker-python-sdk vulnerable to Deserialization of Untrusted Data
Impact sagemaker.basedeserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both...
PYSEC-2026-1013 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs
Impact 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. E.g. the following raises an error: python np.ones0, 231, 231 An example of a proof of concept: python import numpy as np import tensorflow as tf inputval =...