Vulnerability-Lookup

OPENSUSE-SU-2019:0245-1

Vulnerability from csaf_opensuse - Published: 2019-03-23 11:06 - Updated: 2026-09-20 18:47

Summary

Security update for python-numpy

Severity

Important

Notes

Title of the patch: Security update for python-numpy

Description of the patch: This update for python-numpy fixes the following issue: Security issue fixed: - CVE-2019-6446: Set allow_pickle to false by default to restrict loading untrusted content (bsc#1122208). With this update we decrease the possibility of allowing remote attackers to execute arbitrary code by misusing numpy.load(). A warning during runtime will show-up when the allow_pickle is not explicitly set. NOTE: By applying this update the behavior of python-numpy changes, which might break your application. In order to get the old behaviour back, you have to explicitly set `allow_pickle` to True. Be aware that this should only be done for trusted input, as loading untrusted input might lead to arbitrary code execution. This update was imported from the SUSE:SLE-15:Update update project.

Patchnames: openSUSE-2019-245

CVE-2019-6446

7.8 (High)


                
                  CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Affected products

Recommended 12 products

Product	Version	Remediation
Unresolved product id: openSUSE Leap 15.0:python2-numpy-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python2-numpy-devel-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python2-numpy-gnu-hpc-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python2-numpy-gnu-hpc-devel-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python2-numpy_1_14_0-gnu-hpc-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python2-numpy_1_14_0-gnu-hpc-devel-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python3-numpy-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python3-numpy-devel-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python3-numpy-gnu-hpc-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python3-numpy-gnu-hpc-devel-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python3-numpy_1_14_0-gnu-hpc-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix
Unresolved product id: openSUSE Leap 15.0:python3-numpy_1_14_0-gnu-hpc-devel-0:1.14.0-lp150.3.3.1.x86_64	—	Vendor Fix

Threats

Impact moderate

References

8 references

URL	Category
https://www.suse.com/support/security/rating/	external
https://ftp.suse.com/pub/projects/security/csaf/o…	self
https://lists.opensuse.org/archives/list/security…	self
https://lists.opensuse.org/archives/list/security…	self
https://bugzilla.suse.com/1122208	self
https://www.suse.com/security/cve/CVE-2019-6446/	self
https://www.suse.com/security/cve/CVE-2019-6446	external
https://bugzilla.suse.com/1122208	external

JSON

To clipboard

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CVE-2019-6446 (GCVE-0-2019-6446)

Vulnerability from cvelistv5 – Published: 2019-01-16 05:00 – Updated: 2025-07-21 22:10 Disputed

Summary

An issue was discovered in NumPy before 1.16.3. 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.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

13 references

URL	Tags
https://bugzilla.suse.com/show_bug.cgi?id=1122208
http://www.securityfocus.com/bid/106670	vdb-entry
https://github.com/numpy/numpy/issues/12759
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisory
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisory
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisory
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisory
https://access.redhat.com/errata/RHSA-2019:3335	vendor-advisory
https://access.redhat.com/errata/RHSA-2019:3704	vendor-advisory
https://github.com/numpy/numpy/pull/13359
https://github.com/numpy/numpy/pull/12889
https://github.com/numpy/numpy/commit/89b688732b3…
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORAx_transferred

Date Public

2019-01-15 00:00

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.

Action not permitted

OPENSUSE-SU-2019:0245-1

CVE-2019-6446 (GCVE-0-2019-6446)

Tags

Sightings

Nomenclature

Related by attack behaviour