CVE-2019-6446: Input Validation
First published: Wed Jan 16 2019(Updated: )
** 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.
Credit: cve@mitre.org cve@mitre.org cve@mitre.org
| Affected Software | Affected Version | How to fix |
|---|---|---|
| redhat/numpy | <1:1.14.3-9.el8 | 1:1.14.3-9.el8 |
| pip/numpy | <=1.16.0 | |
| NumPy NumPy | <=1.16.0 | |
| Fedoraproject Fedora | =30 | |
| <=1.16.0 | ||
| =30 |
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Reference Links
- https://www.cve.org/CVERecord?id=CVE-2019-6446 https://nvd.nist.gov/vuln/detail/CVE-2019-6446
- https://bugzilla.redhat.com/show_bug.cgi?id=1667950
- https://access.redhat.com/errata/RHSA-2019:3335
- https://access.redhat.com/errata/RHSA-2019:3704
- https://access.redhat.com/security/cve/cve-2019-6446
- https://github.com/numpy/numpy/issues/12759
- https://github.com/numpy/numpy/commit/a2bd3a7eabfe053d6d16a2130fdcad9e5211f6bb
- https://bugzilla.redhat.com/show_bug.cgi/show_bug.cgi?id=1667956
- https://bugzilla.redhat.com/show_bug.cgi/show_bug.cgi?id=1667955
- https://bugzilla.redhat.com/show_bug.cgi/show_bug.cgi?id=1667957
- https://bugzilla.redhat.com/show_bug.cgi/show_bug.cgi?id=1667959
- https://bugzilla.redhat.com/show_bug.cgi/show_bug.cgi?id=1667958
- https://bugzilla.redhat.com/show_bug.cgi/show_bug.cgi?id=1667960
- https://docs.python.org/3/library/pickle.html
- https://bugzilla.redhat.com/show_bug.cgi/show_bug.cgi?id=1667950#c3
- https://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.load.html#numpy.load
- https://docs.scipy.org/doc/numpy-1.10.0/reference/generated/numpy.save.html#numpy.save
- https://bugzilla.redhat.com/show_bug.cgi/show_bug.cgi?id=1667950#c0
- https://github.com/numpy/numpy/pull/5770
- https://nvd.nist.gov/vuln/detail/CVE-2019-6446
- https://bugzilla.suse.com/show_bug.cgi?id=1122208
- 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
- https://github.com/numpy/numpy/pull/12889
- https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4
- https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4
- https://web.archive.org/web/20210124234613/https://www.securityfocus.com/bid/106670
- http://www.securityfocus.com/bid/106670
- https://github.com/advisories/GHSA-9fq2-x9r6-wfmf (Advisory)
- https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/
- https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/
- https://github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2019-108.yaml
Frequently Asked Questions
What is the vulnerability ID for this issue in NumPy?
The vulnerability ID for this issue in NumPy is CVE-2019-6446.
What is the severity rating of CVE-2019-6446?
The severity rating of CVE-2019-6446 is critical with a score of 9.8.
How does CVE-2019-6446 affect NumPy?
CVE-2019-6446 affects NumPy versions 1.16.0 and earlier.
How can attackers exploit CVE-2019-6446?
Attackers can exploit CVE-2019-6446 by executing arbitrary code via a crafted serialized object, as demonstrated by a numpy.load call.
Are there any references available for CVE-2019-6446?
Yes, you can find references for CVE-2019-6446 at the following links: [NVD](https://nvd.nist.gov/vuln/detail/CVE-2019-6446), [GitHub Issue](https://github.com/numpy/numpy/issues/12759), [Bugzilla SUSE](https://bugzilla.suse.com/show_bug.cgi?id=1122208).
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