🛡️ CVE-2019-6446 — numpy

🔴 CVSS 9.5 — Critical ✅ No Known Exploit CWE-502 OSV
9.5
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

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.

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. Rated impact: confidentiality high, integrity high, availability high.

Weakness class

CVE-2019-6446 is classified as CWE-502: Deserialization of Untrusted Data. Serialised data from an untrusted source is reconstructed into objects, which can trigger code during the process.

Affected software

CVE-2019-6446 is recorded against 1 package.

  • numpy (fixed in 1.16.3)

Timeline and source

Published on 24 May 2022 and last revised on 6 July 2026. No public exploit is currently recorded for this entry. Record sourced from OSV.

References

nvd.nist.gov (Advisory)
github.com (Web)
github.com (Web)
github.com (Web)
github.com (Web)
access.redhat.com (Web)
access.redhat.com (Web)
bugzilla.suse.com (Web)
github.com (Advisory)
github.com (Package)
github.com (Web)
lists.fedoraproject.org (Web)
lists.fedoraproject.org (Web)
web.archive.org (Web)
lists.opensuse.org (Web)

Details

Severity CRITICAL
CVSS Score 9.5
CVSS Vector CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
CWE CWE-502
Public Exploit ✅ No
Source OSV
Published 2022-05-24
Updated 2026-08-12
Modified 2026-07-06
Fix URL N/A

Affected Packages

Software From version Fixed in
numpy 1.16.3

References

Similar Threats

Exploit Protection

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