CVE-2019-6446

Priority
Description
** 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.
Notes
 mdeslaur> The following commit added an option that will allow disabling
 mdeslaur> the use of pickles in load and save operations:
 mdeslaur> https://github.com/numpy/numpy/commit/a2bd3a7eabfe053d6d16a2130fdcad9e5211f6bb
 mdeslaur>
 mdeslaur> That commit is included in xenial+
 mdeslaur>
 mdeslaur> Marking this as low priority due to the limited reverse-depends
 mdeslaur> in main, and the fact that it may not be possible to switch the
 mdeslaur> default to false in stable releases without breaking use-cases.
Package
Upstream:needs-triage
Ubuntu 12.04 ESM (Precise Pangolin):DNE
Ubuntu 14.04 LTS (Trusty Tahr):needed
Ubuntu 16.04 LTS (Xenial Xerus):needed
Ubuntu 18.04 LTS (Bionic Beaver):needed
Ubuntu 18.10 (Cosmic Cuttlefish):needed
Ubuntu 19.04 (Disco Dingo):needed
More Information

Updated: 2019-03-19 11:32:43 UTC (commit 15472795df7e9de45b82f2d36b8b419b939f97b2)