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CVE-2021-33430: A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when

40
This month
MEDIUM 5.3UPGRADE

CVE-2021-33430 is a medium-severity flaw (CVSS 5.3) affecting numpy. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.

A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of serv

Why this priority

  • Public exploit reference

A fixed release or distro patch exists.

Risk facts

CVSS score5.3 (Medium)
Attack vectorNetwork (remote)
Attack complexityHigh
Privileges neededLow
User interactionNone
EPSS exploit chance1.2% (top 33%)
CISA exploited listNo
WeaknessCWE-120
Published2021-12-17
Last modified2026-06-17
Publisher (CNA): MITRE · Vendor: numpy

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Last updated 2026-06-17 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score

Am I affected?

Timeline

numpy numpy UPGRADE
Affected: >= 1.9.0 and <= 1.9.3
Fixed in: newer than 1.9.3
Safe to downgrade to: a release before 1.9.0
1. Check installed version
apt-cache policy numpy || rpm -q numpy || numpy --version
2. UPGRADE to newer than 1.9.3 (Debian / Ubuntu)
sudo apt update && sudo apt install --only-upgrade numpy
2. UPGRADE (RHEL / Amazon Linux / Fedora)
sudo dnf upgrade numpy
Note
Distros often backport fixes without changing the version number. Confirm with the distro advisory or changelog.
3. If no update is available yet, DOWNGRADE to a release before 1.9.0 (Debian / Ubuntu)
apt-cache madison numpy sudo apt install numpy=<VERSION_BEFORE_1.9.0> sudo apt-mark hold numpy
3. If no update is available yet, DOWNGRADE (RHEL / Amazon Linux / Fedora)
dnf --showduplicates list numpy sudo dnf downgrade numpy-<VERSION_BEFORE_1.9.0> sudo dnf versionlock add numpy
Downgrade risk
Downgrading can break dependent software and may reopen older bugs. Read the distro advisory first and test on a non-production host.
After downgrade
Restart the service, and keep the package held until a fixed release ships.
Verify at the official source NVD · CVE Program · Report a problem with this page
Scores and fixes here are computed automatically from those and other public sources. Confirm with the vendor advisory before changing production systems.

Quick answers

How do I fix CVE-2021-33430?

numpy: upgrade to newer than 1.9.3. Exact commands for each OS are on this page.

Is CVE-2021-33430 being exploited?

CVE-2021-33430 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.

What does CVE-2021-33430 affect?

CVE-2021-33430 affects numpy. Severity is medium (CVSS 5.3). A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOT

How urgent is CVE-2021-33430?

Priority 40/100. Public exploit reference

Software pages

Python vulnerabilities · Pandas and NumPy vulnerabilities

Related CVEs

References

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