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CVE-2019-6446

Status Candidate

Overview

** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module unsafely, which allows remote attackers to execute arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call. NOTE: third parties dispute this issue because it is a behavior that might have legitimate applications in (for example) loading serialized Python object arrays from trusted and authenticated sources.

Related Files

Red Hat Security Advisory 2019-3704-01
Posted Nov 6, 2019
Authored by Red Hat | Site access.redhat.com

Red Hat Security Advisory 2019-3704-01 - The numpy packages provide NumPY. NumPY is an extension to the Python programming language, which adds support for large, multi-dimensional arrays and matrices, and a library of mathematical functions that operate on such arrays. Issues addressed include a code execution vulnerability.

tags | advisory, code execution, python
systems | linux, redhat
advisories | CVE-2019-6446
MD5 | 0e3bdcc73242a88945f073c87eb6b6cd
Red Hat Security Advisory 2019-3335-01
Posted Nov 6, 2019
Authored by Red Hat | Site access.redhat.com

Red Hat Security Advisory 2019-3335-01 - Python is an interpreted, interactive, object-oriented programming language that supports modules, classes, exceptions, high-level dynamic data types, and dynamic typing. Issues addressed include bypass and code execution vulnerabilities.

tags | advisory, vulnerability, code execution, python
systems | linux, redhat
advisories | CVE-2019-11236, CVE-2019-11324, CVE-2019-6446, CVE-2019-9740, CVE-2019-9947, CVE-2019-9948
MD5 | a80baca213355c9f9584358df2a162ac
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