REDHAT-BUG-1667950
First published: Mon Jan 21 2019(Updated: )
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. Upstream issue: <a href="https://github.com/numpy/numpy/issues/12759">https://github.com/numpy/numpy/issues/12759</a> Upstream patch: <a href="https://github.com/numpy/numpy/commit/a2bd3a7eabfe053d6d16a2130fdcad9e5211f6bb">https://github.com/numpy/numpy/commit/a2bd3a7eabfe053d6d16a2130fdcad9e5211f6bb</a>
| Affected Software | Affected Version | How to fix |
|---|---|---|
| NumPy | <1.16.0 |
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Reference Links
- 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://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://bugzilla.redhat.com/show_bug.cgi?id=1667950
Frequently Asked Questions
What is the severity of REDHAT-BUG-1667950?
REDHAT-BUG-1667950 is considered a critical vulnerability due to the potential for remote code execution.
How do I fix REDHAT-BUG-1667950?
To fix REDHAT-BUG-1667950, upgrade NumPy to version 1.16.1 or later where the vulnerability has been addressed.
Who is affected by REDHAT-BUG-1667950?
Users of NumPy version 1.16.0 and earlier are affected by REDHAT-BUG-1667950.
What type of attack can REDHAT-BUG-1667950 facilitate?
REDHAT-BUG-1667950 can facilitate remote code execution attacks via maliciously crafted serialized objects.
When was REDHAT-BUG-1667950 reported?
REDHAT-BUG-1667950 was reported in 2020, highlighting vulnerabilities in NumPy versions prior to 1.16.1.
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