Ubuntu.comUB:CVE-2019-6446CVE-2019-6446
9.8 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
7.5 High
CVSS2
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:P/I:P/A:P
0.066 Low
EPSS
Percentile
93.8%
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.
Bugs
- <https://github.com/numpy/numpy/issues/12759>
- <https://bugzilla.suse.com/show_bug.cgi?id=1122208>
Notes
| Author | Note |
|---|---|
| mdeslaur | The following commit added an option that will allow disabling the use of pickles in load and save operations: https://github.com/numpy/numpy/commit/a2bd3a7eabfe053d6d16a2130fdcad9e5211f6bb That commit is included in xenial+ Marking this as low priority due to the limited reverse-depends in main, and the fact that it may not be possible to switch the default to false in stable releases without breaking use-cases. |
| OS | Version | Architecture | Package | Version | Filename |
|---|---|---|---|---|---|
| ubuntu | 18.04 | noarch | python-numpy | < any | UNKNOWN |
| ubuntu | 20.04 | noarch | python-numpy | < any | UNKNOWN |
| ubuntu | 16.04 | noarch | python-numpy | < any | UNKNOWN |
Related
9.8 High
CVSS3
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
HIGH
Integrity Impact
HIGH
Availability Impact
HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
7.5 High
CVSS2
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
PARTIAL
Integrity Impact
PARTIAL
Availability Impact
PARTIAL
AV:N/AC:L/Au:N/C:P/I:P/A:P
0.066 Low
EPSS
Percentile
93.8%