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.
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beschreibt (1)
Zugehörige CVEs.
| ID | Schweregrad | ausnutzbar | ||
|---|---|---|---|---|
| CVE-2019-6446US | critical9.8 | Exploit | ||
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,… | ||||
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Referenzen
Externe Belege — Patches, Meldungen, Analysen.
- http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.htmlWEB
- http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.htmlWEB
- http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.htmlWEB
- http://www.securityfocus.com/bid/106670WEB
- https://access.redhat.com/errata/RHSA-2019:3335WEB
- https://access.redhat.com/errata/RHSA-2019:3704WEB
- https://bugzilla.suse.com/show_bug.cgi?id=1122208WEB
- https://github.com/advisories/GHSA-9fq2-x9r6-wfmfADVISORY
scry
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