CVE-2023-25399: A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindO

Q: How do I fix CVE-2023-25399?

scipy: upgrade to 1.10.0. Exact commands for each OS are on this page.

Q: Is CVE-2023-25399 being exploited?

CVE-2023-25399 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.

Q: What does CVE-2023-25399 affect?

CVE-2023-25399 affects scipy. Severity is medium (CVSS 5.5). A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindObjects() function. Note: This is disputed as a bug and not a vulnerability. SciPy is not designed to be exposed to untrusted users

Q: How urgent is CVE-2023-25399?

Priority 32/100. Public exploit reference

Routine

MEDIUM 5.5UPGRADE

CVE-2023-25399 is a medium-severity flaw (CVSS 5.5) affecting scipy. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.

A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindObjects() function. Note: This is disputed as a bug and not a vulnerability. SciPy is not designed to be exposed to untrusted users or data directly.

Why this priority

Public exploit reference

A fixed release or distro patch exists.

Risk facts

CVSS score	5.5 (Medium)
Attack vector	Local
Attack complexity	Low
Privileges needed	Low
User interaction	None
EPSS exploit chance	0.4% (top 68%)
CISA exploited list	No
Weakness	CWE-401
Published	2023-07-05
Last modified	2026-06-17

Publisher (CNA): MITRE · Vendor: scipy

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

Am I affected?

Timeline

2023-07-05 17:15 UTCPublished CVE record published
2026-06-17 05:41 UTCUpdated Record last modified

scipy scipy UPGRADE

Affected: < 1.10.0

Fixed in: 1.10.0

Safe to downgrade to: no unaffected older release

1. Check installed version

apt-cache policy scipy || rpm -q scipy || scipy --version

2. UPGRADE to 1.10.0 (Debian / Ubuntu)

sudo apt update && sudo apt install --only-upgrade scipy

2. UPGRADE (RHEL / Amazon Linux / Fedora)

sudo dnf upgrade scipy

Note

Distros often backport fixes without changing the version number. Confirm with the distro advisory or changelog.

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-2023-25399?

scipy: upgrade to 1.10.0. Exact commands for each OS are on this page.

Is CVE-2023-25399 being exploited?

CVE-2023-25399 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-2023-25399 affect?

CVE-2023-25399 affects scipy. Severity is medium (CVSS 5.5). A refcounting issue which leads to potential memory leak was discovered in scipy commit 8627df31ab in Py_FindObjects() function. Note: This is disputed as a bug and not a vulnerability. SciPy is not designed to be exposed to untrusted users

How urgent is CVE-2023-25399?

Priority 32/100. Public exploit reference

Related CVEs

CVE-2023-29824 CRITICAL 9.8 UPGRADE A use-after-free issue was discovered in Py_FindObjects() function in SciPy versions prior to 1.8.0

References

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