| Summary: | python-numpy new security issues CVE-2021-33430 and CVE-2021-41496 | ||
|---|---|---|---|
| Product: | Mageia | Reporter: | David Walser <luigiwalser> |
| Component: | Security | Assignee: | QA Team <qa-bugs> |
| Status: | RESOLVED FIXED | QA Contact: | Sec team <security> |
| Severity: | normal | ||
| Priority: | Normal | CC: | andrewsfarm, davidwhodgins, mageia, sysadmin-bugs, tarazed25 |
| Version: | 8 | Keywords: | advisory, validated_update |
| Target Milestone: | --- | ||
| Hardware: | All | ||
| OS: | Linux | ||
| Whiteboard: | MGA8-64-OK | ||
| Source RPM: | python-numpy-1.21.5-2.mga9.src.rpm | CVE: | |
| Status comment: | |||
|
Description
David Walser
2022-01-19 17:43:40 CET
David Walser
2022-01-19 17:43:55 CET
Status comment:
(none) =>
Patches available from upstream fixed in mga8/9
src:
- python-numpy-1.19.4-1.1.mga8Version:
Cauldron =>
8 openSUSE has issued an advisory for this today (January 20): https://lists.opensuse.org/archives/list/security-announce@lists.opensuse.org/thread/LQS3J3J4254A7C3LD55D7A432FZ2RFFI/ python3-numpy-devel-1.19.4-1.1.mga8 python3-numpy-f2py-1.19.4-1.1.mga8 python3-numpy-1.19.4-1.1.mga8 python3-numpy-doc-1.19.4-1.1.mga8 from python-numpy-1.19.4-1.1.mga8.src.rpm Updated python-numpy on x86_64 hardware and installed the other three packages. The requires list contains these: blender kismet nanovna-saver noethys orange pitivi .... task-sugar theli veusz xmds One could guess that blender might use this package for computing two-dimensional matrices but that requires some prior knowledge. Installed blender and ran strace on it. Nothing there after an attempt to create a shape and save it. Tried pitivi on a short file without understanding the interface and scored a few hits of this kind: openat(AT_FDCWD, "/usr/lib64/python3.8/site-packages/numpy/core/__pycache__/__init__.cpython-38.pyc", O_RDONLY|O_CLOEXEC) = 13 openat(AT_FDCWD, "/usr/lib64/python3.8/site-packages/numpy/core", O_RDONLY|O_NONBLOCK|O_CLOEXEC|O_DIRECTORY) = 13 openat(AT_FDCWD, "/usr/lib64/python3.8/site-packages/numpy/core/__pycache__/multiarray.cpython-38.pyc", O_RDONLY|O_CLOEXEC) = 13 theli, veusz and xdms are used in various advanced technical and scientific fields. Orange appears to have something to do with data mining. So, quite difficult to see it in action. On bug 24356 this simple test worked OK, and now. $ python tutorial.py [[ 0 1 2 3 4] [ 5 6 7 8 9] [10 11 12 13 14]] (3, 5) 2 int64 8 15 <class 'numpy.ndarray'> [6 7 8] <class 'numpy.ndarray'> [[1.5 2. 3. ] [4. 5. 6. ]] [[1.+0.j 2.+0.j] [3.+0.j 4.+0.j]] [0 1 2 3] [20 29 38 47] [0 1 4 9] [ 9.12945251 -9.88031624 7.4511316 -2.62374854] [ True True False False] Passing this on the basis that pitivi appears to work with it and the demo script gives the same result as before. Whiteboard:
(none) =>
MGA8-64-OK Validating. Keywords:
(none) =>
validated_update
Dave Hodgins
2022-01-24 23:20:27 CET
CC:
(none) =>
davidwhodgins An update for this issue has been pushed to the Mageia Updates repository. https://advisories.mageia.org/MGASA-2022-0032.html Resolution:
(none) =>
FIXED |