GHSA-5545-2q6w-2gh6 CVE-2021-41495 PYSEC-2021-856
NumPy NULL Pointer Dereference
- Severity
- 7.5 / 10
- High · CVSS 3.1
- Exploit chance (EPSS)
- 1.24%
- Chance of exploitation in the next 30 days. Higher than 69.19% of scored vulnerabilities.
- Known exploited
- No
- Not in CISA's catalog
- Weakness
- CWE-476 NULL Pointer Dereference
- Fix
1.19- Upgrade numpy to this version or later
Description
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.
Affected versions
PyPI
How to fix
Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.
numpy PyPI → 1.19
- pip
pip install --upgrade "numpy>=1.19"- poetry
poetry add "numpy>=1.19"- uv
uv add "numpy>=1.19"
Severity breakdown
CVSS 3.1 7.5
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
- Attack vector
- Network
- Attack complexity
- Low
- Privileges required
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- None
- Integrity
- None
- Availability
- High
Weakness
CWE-476: NULL Pointer Dereference
The product dereferences a pointer that it expects to be valid but is NULL.
How to prevent it
- Implementation: For any pointers that could have been modified or provided from a function that can return NULL, check the pointer for NULL before use. When working with a multithreaded or otherwise asynchronous environment, ensure that proper locking APIs are used to lock before the check, and unlock when it has finished [REF-1484].
- Requirements: Select a programming language that is not susceptible to these issues.
- Implementation: Check the results of all functions that return a value and verify that the value is non-null before acting upon it.
- Architecture and Design: Identify all variables and data stores that receive information from external sources, and apply input validation to make sure that they are only initialized to expected values.
- Implementation: Explicitly initialize all variables and other data stores, either during declaration or just before the first usage.
References
Advisories
Packages
Other links
Timeline
- Published
- Last updated by the source
- Latest EPSS score
Related advisories
| Advisory | Severity | Why it's related |
|---|---|---|
| GHSA-f7c7-j99h-c22f Buffer Copy without Checking Size of Input in NumPy | Medium | Also affects numpy |
| GHSA-fpfv-jqm9-f5jm Incorrect Comparison in NumPy | Medium | Also affects numpy |
| GHSA-6p56-wp2h-9hxr NumPy Buffer Overflow (Disputed) | Medium | Also affects numpy |
| GHSA-9fq2-x9r6-wfmf Numpy Deserialization of Untrusted Data | Critical | Also affects numpy |
| GHSA-cw6w-4rcx-xphc Arbitrary file write in NumPy | Medium | Also affects numpy |
| GHSA-2fc2-6r4j-p65h Numpy arbitrary file write via symlink attack | Medium | Also affects numpy |
| GHSA-frgw-fgh6-9g52 Numpy missing input validation | High | Also affects numpy |
| GHSA-525v-9gp9-w22h Forge: TLS client crash when the server sends no certificate | Medium | Same weakness, CWE-476 |
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