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Security Advisories: GSA_kwCzR0hTQS05ZnEyLXg5cjYtd2ZtZs4AAq9p

Numpy Deserialization of Untrusted Data

** 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.

Permalink: https://github.com/advisories/GHSA-9fq2-x9r6-wfmf
JSON: https://advisories.ecosyste.ms/api/v1/advisories/GSA_kwCzR0hTQS05ZnEyLXg5cjYtd2ZtZs4AAq9p
Source: GitHub Advisory Database
Origin: Unspecified
Severity: Critical
Classification: General
Published: almost 2 years ago
Updated: 5 days ago


CVSS Score: 9.8
CVSS vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

Identifiers: GHSA-9fq2-x9r6-wfmf, CVE-2019-6446
References: Repository: https://github.com/numpy/numpy
Blast Radius: 55.7

Affected Packages

pypi:numpy
Dependent packages: 28,175
Dependent repositories: 487,463
Downloads: 255,972,031 last month
Affected Version Ranges: <= 1.16.0
No known fixed version
All affected versions: 0.9.6, 0.9.8, 1.0.3, 1.0.4, 1.1.1, 1.2.0, 1.2.1, 1.3.0, 1.4.0, 1.4.1, 1.5.0, 1.5.1, 1.6.0, 1.6.1, 1.6.2, 1.7.0, 1.7.1, 1.7.2, 1.8.0, 1.8.1, 1.8.2, 1.9.0, 1.9.1, 1.9.2, 1.9.3, 1.10.0, 1.10.1, 1.10.2, 1.10.3, 1.10.4, 1.11.0, 1.11.1, 1.11.2, 1.11.3, 1.12.0, 1.12.1, 1.13.0, 1.13.1, 1.13.3, 1.14.0, 1.14.1, 1.14.2, 1.14.3, 1.14.4, 1.14.5, 1.14.6, 1.15.0, 1.15.1, 1.15.2, 1.15.3, 1.15.4, 1.16.0