CVE-2019-6446
CRITICAL severity · CVSS 9.8 · Insecure deserialization
9.8CVSS CRITICAL
Summary
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.
Impact & exploitability
Attack vectorNetwork
Attack complexityLow
Privileges requiredNone
User interactionNone
Confidentiality impactHigh
Integrity impactHigh
Availability impactHigh
Exploit probability (EPSS)17%
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Affected products we track (1)
Recommendation
Apply the vendor fix promptly. Open any affected product above for its exact safe version.
Additional information
- NVD record
- 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
- http://www.securityfocus.com/bid/106670Advisory
- https://access.redhat.com/errata/RHSA-2019:3335
- https://access.redhat.com/errata/RHSA-2019:3704
- https://github.com/numpy/numpy/commit/89b688732b37616c9d26623f81aaee1703c30ffb
- https://bugzilla.suse.com/show_bug.cgi?id=1122208Advisory