CVE-2019-6446
Numpy Deserialization of Untrusted Data
9.8
CRITICAL
CVSS 3.1
EPSS 17.1%
Description
** 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.
How to fix CVE-2019-6446
To remediate CVE-2019-6446, upgrade the affected package to a fixed version below.
- —upgrade to 1.16.3 or later
Is CVE-2019-6446 being exploited?
Moderate — EPSS is 17.1%. Track this CVE but it's not at the top of the prioritisation list.
Affected packages (1)
- from 0, < 1.16.3
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 4.0 | — | 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 |
| osv | CVSS 3.1 | CRITICAL9.8 | CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H |