CVE-2019-6446

numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution

Published Jan 16, 2019 CVSS 3.0 · 9.8 Critical EPSS 27.3% KEV · Not listed
Description
An issue was discovered in NumPy before 1.16.3. 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.

Remediation

No solution or workaround provided in the CVE record

Tracking

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Advisories

Source ID Title
Github GHSA Github GHSA GHSA-9fq2-x9r6-wfmf Numpy Deserialization of Untrusted Data
History
Type Values Removed Values Added
Description 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 An issue was discovered in NumPy before 1.16.3. 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.
References
Weaknesses

Sources

Status
PUBLISHED
Assigner
mitre
Published
Updated
Jul 21, 2025, 10:10 PM
Reserved
Jan 15, 2019, 12:00 AM
Status
Modified
Published
Jan 16, 2019, 5:29 AM
Modified
Jun 17, 2026, 2:39 AM
Severity
Moderate
Public date
Jan 16, 2019, 12:00 AM