CVE-2019-6446
NumPy Pickle Remote Code Execution Vuln
Description
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
INFO
Published Date :
Jan. 16, 2019, 5:29 a.m.
Last Modified :
Aug. 4, 2024, 9:15 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2019-6446 has a 9 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2019-6446
.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Web CTF CheatSheet 🐈
Web CTF CheatSheet 🐈
ctf cheatsheet capture-the-flag
PHP Classic ASP ASP.NET Python Ruby Batchfile PowerShell VBScript
None
None
AISecMatrix Project
None
A Rock Paper Scissors game made with python
Python
Numpy deserialization command execution
Python
Web CTF CheatSheet 🐈
cheatsheet ctf
Ruby PHP Batchfile PowerShell Python VBScript Classic ASP ASP.NET
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2019-6446
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2019-6446
vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
Aug. 04, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
May. 17, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Apr. 11, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Mar. 21, 2024
Action Type Old Value New Value Added Tag MITRE disputed -
CVE Modified by [email protected]
Nov. 07, 2023
Action Type Old Value New Value Changed 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. 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 Added Reference MITRE https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ [No types assigned] Removed Reference MITRE https://lists.fedoraproject.org/archives/list/[email protected]/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ -
CVE Modified by [email protected]
Nov. 06, 2019
Action Type Old Value New Value Added Reference https://access.redhat.com/errata/RHSA-2019:3335 [No Types Assigned] Added Reference https://access.redhat.com/errata/RHSA-2019:3704 [No Types Assigned] -
CVE Modified by [email protected]
Oct. 06, 2019
Action Type Old Value New Value Added Reference http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html [No Types Assigned] -
CVE Modified by [email protected]
Oct. 01, 2019
Action Type Old Value New Value Added Reference http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html [No Types Assigned] Added Reference http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html [No Types Assigned] -
Modified Analysis by [email protected]
May. 10, 2019
Action Type Old Value New Value Changed Reference Type https://lists.fedoraproject.org/archives/list/[email protected]/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ No Types Assigned https://lists.fedoraproject.org/archives/list/[email protected]/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ Third Party Advisory Added CPE Configuration OR *cpe:2.3:o:fedoraproject:fedora:30:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Apr. 28, 2019
Action Type Old Value New Value Added Reference https://lists.fedoraproject.org/archives/list/[email protected]/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4/ [No Types Assigned] -
Modified Analysis by [email protected]
Feb. 26, 2019
Action Type Old Value New Value Changed Reference Type http://www.securityfocus.com/bid/106670 No Types Assigned http://www.securityfocus.com/bid/106670 Third Party Advisory, VDB Entry -
CVE Modified by [email protected]
Feb. 25, 2019
Action Type Old Value New Value Changed Description 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. ** 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. -
CVE Modified by [email protected]
Jan. 23, 2019
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/106670 [No Types Assigned] -
Initial Analysis by [email protected]
Jan. 22, 2019
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:N/C:P/I:P/A:P) Added CVSS V3 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/numpy/numpy/issues/12759 No Types Assigned https://github.com/numpy/numpy/issues/12759 Exploit, Issue Tracking, Third Party Advisory Changed Reference Type https://bugzilla.suse.com/show_bug.cgi?id=1122208 No Types Assigned https://bugzilla.suse.com/show_bug.cgi?id=1122208 Exploit, Issue Tracking, Third Party Advisory Added CWE CWE-502 Added CPE Configuration OR *cpe:2.3:a:numpy:numpy:*:*:*:*:*:*:*:* versions up to (including) 1.16.0 -
CVE Modified by [email protected]
Jan. 16, 2019
Action Type Old Value New Value Added Reference https://bugzilla.suse.com/show_bug.cgi?id=1122208 [No Types Assigned]
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2019-6446
is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2019-6446
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
3.43 }} 0.21%
score
0.91531
percentile