CVE-2019-6446

numpy: crafted serialized object passed in numpy.load() in pickle python module allows arbitrary code execution

Severity Score

9.8

*CVSS v3

Exploit Likelihood

*EPSS

Affected Versions

*CPE

Public Exploits

*Multiple Sources

Exploited in Wild

*KEV

Decision

*SSVC

Descriptions

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

** EN DISPUTA ** Se ha descubierto un problema en NumPy, en versiones 1.16.0 y anteriores. Emplea el módulo de Python pickle de forma insegura, lo que permite que los atacantes remotos ejecuten código arbitrario mediante un objeto serializado, tal y como queda demostrado con una llamada numpy.load. NOTA: hay terceros que discuten este problema, ya que es un comportamiento que podría tener aplicaciones legítimas en, por ejemplo, la carga de arrays de objetos de Python serializados de fuentes fiables y autenticadas.

*Credits: N/A

CVSS Scores

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

Required

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Attack Vector

Network

Attack Complexity

Low

Authentication

None

Confidentiality

Partial

Integrity

Partial

Availability

Partial

* Common Vulnerability Scoring System

SSVC

Decision:-

Exploitation

Automatable

Tech. Impact

* Organization's Worst-case Scenario

Timeline

2019-01-15 CVE Reserved
2019-01-16 CVE Published
2019-05-15 First Exploit
2024-06-29 EPSS Updated
2024-08-04 CVE Updated
---------- Exploited in Wild
---------- KEV Due Date

CWE

CWE-20: Improper Input Validation
CWE-502: Deserialization of Untrusted Data

CAPEC

References (12)

URL	Tag	Source
http://www.securityfocus.com/bid/106670	Third Party Advisory

URL	Date	SRC
https://github.com/RayScri/CVE-2019-6446	2019-05-15
https://bugzilla.suse.com/show_bug.cgi?id=1122208	2024-08-04
https://github.com/numpy/numpy/issues/12759	2024-08-04

URL	Date	SRC

URL	Date	SRC
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00091.html	2024-05-17
http://lists.opensuse.org/opensuse-security-announce/2019-09/msg00092.html	2024-05-17
http://lists.opensuse.org/opensuse-security-announce/2019-10/msg00015.html	2024-05-17
https://access.redhat.com/errata/RHSA-2019:3335	2024-05-17
https://access.redhat.com/errata/RHSA-2019:3704	2024-05-17
https://lists.fedoraproject.org/archives/list/package-announce%40lists.fedoraproject.org/message/7ZZAYIQNUUYXGMKHSPEEXS4TRYFOUYE4	2024-05-17
https://access.redhat.com/security/cve/CVE-2019-6446	2019-11-05
https://bugzilla.redhat.com/show_bug.cgi?id=1667950	2019-11-05

Affected Vendors, Products, and Versions

Vendor		Product				Version		Other		Status
Vendor	Product	Version	Other	Status	<-- -->	Vendor	Product	Version	Other	Status
Numpy Search vendor "Numpy"		Numpy Search vendor "Numpy" for product "Numpy"				<= 1.16.0 Search vendor "Numpy" for product "Numpy" and version " <= 1.16.0"		-		Affected
Fedoraproject Search vendor "Fedoraproject"		Fedora Search vendor "Fedoraproject" for product "Fedora"				30 Search vendor "Fedoraproject" for product "Fedora" and version "30"		-		Affected