Numpy Deserialization of Untrusted Data
** DISPUTED ** An issue was discovered in NumPy 1.16.2 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.
Software afectado
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| Plataforma | Paquete | Versiones vulnerables | Corregida en |
|---|---|---|---|
| Python (PyPI) | numpy | < 1.16.3 | 1.16.3 |
Referencias
- https://github.com/numpy/numpy/issues/12759
- https://bugzilla.suse.com/show_bug.cgi?id=1122208
- http://www.securityfocus.com/bid/106670
- https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/
- http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html
- http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html
- http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html
- https://access.redhat.com/errata/RHSA-2019:3335
- https://access.redhat.com/errata/RHSA-2019:3704
- https://github.com/advisories/GHSA-9fq2-x9r6-wfmf
- https://nvd.nist.gov/vuln/detail/CVE-2019-6446
- https://github.com/numpy/numpy/pull/12889
- https://github.com/numpy/numpy/pull/13359
- https://github.com/numpy/numpy/commit/89b688732b37616c9d26623f81aaee1703c30ffb
- https://github.com/numpy/numpy
- https://github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2019-108.yaml
- https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4
- https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4
- https://web.archive.org/web/20210124234613/https://www.securityfocus.com/bid/106670
- Vector CVSS
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H- Debilidad (CWE)
CWE-502- Plataforma
- Python (PyPI)
- Paquete
numpy- Publicada
- 16.01.2019
- Actualizado
- 11.10.2026 13:18
Fuentes y licencias
OSV / GitHub Advisory Database - PYSEC-2019-108 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-9fq2-x9r6-wfmf - CC BY 4.0
Historial de vulnerabilidades: numpy
Todas las vulnerabilidades publicadas de este paquete (Python (PyPI)), de la más reciente a la más antigua. Muestra si es un fallo aislado o un paquete que hay que vigilar.
- Entradas en total
- 8
- Primera → última
- 08.2017 12.2021
- Sin corrección
- 0
- Explotada en ataques
- 0
Distribución por gravedad
- Crítica 1
- Alta 4
- Media 3
Divulgaciones por año
- 2017: 1
- 2018: 2
- 2019: 1
- 2020: 0
- 2021: 4
- 2022: 0
- 2023: 0
- 2024: 0
- 2025: 0
- 2026: 0
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