# numpy (PyPI) vulnerabilities Source: https://junglewise.ai/threats/technologies/numpy Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats Updated: 13 November 2026, 03:07 UTC. Rebuilt every hour. Data: https://junglewise.ai/threats/technologies/numpy.json License: CC BY 4.0 with a link back Junglewise Threat Intelligence has tracked 9 vulnerabilities in numpy (PyPI): 0 in the last 7 days and 0 in the last 90 days, 1 of them critical and 0 exploited in the wild. The most recent, CVE-2019-6446, was published on 24 May 2022. ## Counts - Last 7 days: 0 - Last 30 days: 0 - Last 90 days: 0 - All time: 9 (1 critical, 0 exploited in the wild) ## About numpy (PyPI) A fundamental package for scientific computing with Python, providing support for large, multi-dimensional arrays and matrices. ## Latest numpy (PyPI) vulnerabilities - [CVE-2019-6446: NumPy insecure deserialization in numpy.load](https://junglewise.ai/threats/cve-2019-6446-numpy-insecure-deserialization-in-numpy-load) (critical, CVSS 9.8, published 24 May 2022) - [CVE-2021-41495: NumPy NULL Pointer Dereference](https://junglewise.ai/threats/cve-2021-41495-numpy-null-pointer-dereference) (low, CVSS 3.1, published 17 Dec 2021) - [CVE-2021-41496: Buffer Copy without Checking Size of Input in NumPy](https://junglewise.ai/threats/cve-2021-41496-buffer-copy-without-checking-size-of-input-in-numpy) (low, CVSS 3.1, published 17 Dec 2021) - [CVE-2021-33430: NumPy Buffer Overflow (Disputed)](https://junglewise.ai/threats/cve-2021-33430-numpy-buffer-overflow-disputed) (low, CVSS 3.1, published 17 Dec 2021) - [CVE-2021-34141: Incorrect Comparison in NumPy](https://junglewise.ai/threats/cve-2021-34141-incorrect-comparison-in-numpy) (low, CVSS 3.1, published 17 Dec 2021) - [PYSEC-2019-38 - ** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module…](https://junglewise.ai/threats/pysec-2019-38-disputed-an-issue-was-discovered-in-numpy-1-16-0-and-92c3370e) (info, published 16 Jan 2019) - [CVE-2014-1859: NumPy arbitrary file write via symlink attack](https://junglewise.ai/threats/cve-2014-1859-numpy-arbitrary-file-write-via-symlink-attack) (low, CVSS 3, published 8 Jan 2018) - [CVE-2014-1858: PYSEC-2018-33 - __init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink…](https://junglewise.ai/threats/cve-2014-1858-arbitrary-file-write-in-numpy) (low, CVSS 3, published 8 Jan 2018) - [CVE-2017-12852: Numpy missing input validation](https://junglewise.ai/threats/cve-2017-12852-numpy-missing-input-validation) (low, CVSS 3, published 15 Aug 2017) ## Most severe numpy (PyPI) vulnerabilities - [CVE-2019-6446: NumPy insecure deserialization in numpy.load](https://junglewise.ai/threats/cve-2019-6446-numpy-insecure-deserialization-in-numpy-load) (critical, CVSS 9.8, published 24 May 2022) - [CVE-2021-34141: Incorrect Comparison in NumPy](https://junglewise.ai/threats/cve-2021-34141-incorrect-comparison-in-numpy) (low, CVSS 3.1, published 17 Dec 2021) - [CVE-2021-41495: NumPy NULL Pointer Dereference](https://junglewise.ai/threats/cve-2021-41495-numpy-null-pointer-dereference) (low, CVSS 3.1, published 17 Dec 2021) - [CVE-2021-33430: NumPy Buffer Overflow (Disputed)](https://junglewise.ai/threats/cve-2021-33430-numpy-buffer-overflow-disputed) (low, CVSS 3.1, published 17 Dec 2021) - [CVE-2021-41496: Buffer Copy without Checking Size of Input in NumPy](https://junglewise.ai/threats/cve-2021-41496-buffer-copy-without-checking-size-of-input-in-numpy) (low, CVSS 3.1, published 17 Dec 2021) - [CVE-2017-12852: Numpy missing input validation](https://junglewise.ai/threats/cve-2017-12852-numpy-missing-input-validation) (low, CVSS 3, published 15 Aug 2017) - [CVE-2014-1859: NumPy arbitrary file write via symlink attack](https://junglewise.ai/threats/cve-2014-1859-numpy-arbitrary-file-write-via-symlink-attack) (low, CVSS 3, published 8 Jan 2018) - [CVE-2014-1858: PYSEC-2018-33 - __init__.py in f2py in NumPy before 1.8.1 allows local users to write to arbitrary files via a symlink…](https://junglewise.ai/threats/cve-2014-1858-arbitrary-file-write-in-numpy) (low, CVSS 3, published 8 Jan 2018) - [PYSEC-2019-38 - ** DISPUTED ** An issue was discovered in NumPy 1.16.0 and earlier. It uses the pickle Python module…](https://junglewise.ai/threats/pysec-2019-38-disputed-an-issue-was-discovered-in-numpy-1-16-0-and-92c3370e) (info, published 16 Jan 2019) ## Vulnerabilities per week Nothing was published in the last eight weeks. | Week of | Vulns | Critical | Exploited | | --- | --- | --- | --- | | 17 Aug 2026 | 0 | 0 | 0 | | 24 Aug 2026 | 0 | 0 | 0 | | 31 Aug 2026 | 0 | 0 | 0 | | 7 Sep 2026 | 0 | 0 | 0 | | 14 Sep 2026 | 0 | 0 | 0 | | 21 Sep 2026 | 0 | 0 | 0 | | 28 Sep 2026 | 0 | 0 | 0 | | 5 Oct 2026 | 0 | 0 | 0 | | 12 Oct 2026 | 0 | 0 | 0 | | 19 Oct 2026 | 0 | 0 | 0 | | 26 Oct 2026 | 0 | 0 | 0 | | 2 Nov 2026 | 0 | 0 | 0 | | 9 Nov 2026 | 0 | 0 | 0 | ## Other PyPI technologies - [tensorflow (PyPI)](https://junglewise.ai/threats/technologies/pypi-tensorflow): 435 vulnerabilities - [tensorflow-cpu (PyPI)](https://junglewise.ai/threats/technologies/tensorflow-cpu): 430 vulnerabilities - [tensorflow-gpu (PyPI)](https://junglewise.ai/threats/technologies/tensorflow-gpu): 427 vulnerabilities - [open-webui (PyPI)](https://junglewise.ai/threats/technologies/open-webui): 177 vulnerabilities - [Django (PyPI)](https://junglewise.ai/threats/technologies/django): 173 vulnerabilities - [apache-airflow (PyPI)](https://junglewise.ai/threats/technologies/apache-airflow): 159 vulnerabilities - [pillow (PyPI)](https://junglewise.ai/threats/technologies/pillow): 125 vulnerabilities - [praisonai (PyPI)](https://junglewise.ai/threats/technologies/pypi-praisonai): 120 vulnerabilities - [vllm (PyPI)](https://junglewise.ai/threats/technologies/pypi-vllm): 117 vulnerabilities - [plone (PyPI)](https://junglewise.ai/threats/technologies/pypi-plone): 101 vulnerabilities - [mlflow (PyPI)](https://junglewise.ai/threats/technologies/mlflow): 88 vulnerabilities - [picklescan (PyPI)](https://junglewise.ai/threats/technologies/picklescan): 86 vulnerabilities ## Sources NVD, GitHub Security Advisories, OSV, the CISA Known Exploited Vulnerabilities catalog, FIRST EPSS and vendor advisories. Rebuilt every hour. Cite as: Junglewise Threat Intelligence, "numpy (PyPI) vulnerabilities", https://junglewise.ai/threats/technologies/numpy, 13 November 2026.