CVE-2021-41495: Numpy NumPy NULL Pointer Dereference Vulnerability
HIGHCVE-2021-41495 is a HIGH (CVSS 7.5) numpy null pointer dereference vulnerability (CWE-476: NULL Pointer Dereference) affecting Numpy libraries in the PyPI ecosystem. The issue involves numpy null pointer dereference. Remediation is available by upgrading affected packages to version 1.19.
CVE-2021-41495 at a Glance
Security Impact
CVSS: 7.5
The security impact metrics below are parsed directly from the CVSS v3.1 vector string (CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
How to Fix CVE-2021-41495
To remediate this vulnerability, upgrade all affected Numpy dependencies to a patched release. Both direct and transitive dependencies should be checked, as frameworks or security libraries may pull in vulnerable versions transitively.
pip install numpy>=1.19
Run the following command in your project directory to verify that all resolved dependencies use the patched release:
pip show numpy
How to Check if You Are Affected
To determine whether your Python environment is affected by CVE-2021-41495, inspect your installed packages using pip:
pip show numpy
Analyze the terminal output to locate any version of Numpy in your dependency tree. If any resolved version matches the vulnerable ranges listed in the table below (for example, versions earlier than 1.19), your application is affected.
Note: The pip show numpy command checks currently installed packages in your active Python environment.
Technical Details
Vulnerability Mechanism & Technical Analysis
This vulnerability is classified under CWE-476: NULL Pointer Dereference, where the product dereferences a pointer that it expects to be valid but is null. In Numpy, software state validation or input boundaries are circumvented during processing. Review the official source advisory statement below for specific affected components, classes, and reproduction details.
Source Advisory Statement
CVE-2021-41495 Affected Numpy Versions
1 component(s)| Product / Package | Ecosystem | Affected Versions | Fixed Version |
|---|---|---|---|
|
numpy
|
PyPI |
< 1.19
|
1.19
|
References
Frequently Asked Questions
What is CVE-2021-41495?
Which Numpy versions are affected?
What version fixes CVE-2021-41495?
Is numpy affected?
What is the CVSS score of CVE-2021-41495?
What CWE is associated with CVE-2021-41495?
How can I check PyPI dependencies for CVE-2021-41495?
Machine-readable OSV JSON
OSV v1.5 Schema
{
"schema_version" : "1.4.0",
"id" : "GHSA-5545-2q6w-2gh6",
"modified" : "2022-08-10T22:18:31Z",
"published" : "2022-02-08T00:00:56Z",
"aliases" : [ "CVE-2021-41495" ],
"summary" : "NumPy NULL Pointer Dereference",
"details" : "Null Pointer Dereference vulnerability exists in numpy.sort in NumPy < and 1.19 in the PyArray_DescrNew function due to missing return-value validation, which allows attackers to conduct DoS attacks by repetitively creating sort arrays.",
"severity" : [ {
"type" : "CVSS_V3",
"score" : "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H"
} ],
"affected" : [ {
"package" : {
"ecosystem" : "PyPI",
"name" : "numpy"
},
"ranges" : [ {
"type" : "ECOSYSTEM",
"events" : [ {
"introduced" : "0"
}, {
"fixed" : "1.19"
} ]
} ],
"database_specific" : {
"last_known_affected_version_range" : "<= 1.18.5"
}
} ],
"references" : [ {
"type" : "ADVISORY",
"url" : "https://nvd.nist.gov/vuln/detail/CVE-2021-41495"
}, {
"type" : "WEB",
"url" : "https://github.com/numpy/numpy/issues/19038"
}, {
"type" : "ADVISORY",
"url" : "https://github.com/advisories/GHSA-5545-2q6w-2gh6"
}, {
"type" : "PACKAGE",
"url" : "https://github.com/numpy/numpy"
}, {
"type" : "WEB",
"url" : "https://github.com/pypa/advisory-database/tree/main/vulns/numpy/PYSEC-2021-856.yaml"
}, {
"type" : "WEB",
"url" : "https://www.oracle.com/security-alerts/cpujul2022.html"
} ],
"database_specific" : {
"cwe_ids" : [ "CWE-476" ],
"severity" : "HIGH",
"github_reviewed" : true,
"github_reviewed_at" : "2022-06-21T20:10:22Z",
"nvd_published_at" : "2021-12-17T20:15:00Z"
}
}