Vulnerability in Scipy
CVE-2023-25399
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.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 5.5 (Medium). Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H.
EPSS exploit prediction
EPSS: 0.004 (29.5th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 30th percentile — 29.5% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.004 · newest: 0.004 · change: 0.000
Affected products
Weakness classification (CWE)
Public proof-of-concept exploits
References
- github.com/scipy/scipy/issues/16235 (Exploit, Patch, Issue Tracking, Vendor Advisory)
- github.com/scipy/scipy/pull/16397 (Patch)
- www.square16.org/achievement/cve-2023-25399/ (Third Party Advisory)
- github.com/scipy/scipy/issues/16235
Frequently asked questions
- What is CVE-2023-25399?
- CVE-2023-25399 is a medium-severity vulnerability in Scipy, classified under Missing Release of Memory after Effective Lifetime. CVSS score: 5.5/10. Published 2023-07-05.
- How severe is CVE-2023-25399?
- Medium severity. CVSS v3 base score is 5.5 out of 10.
- Is CVE-2023-25399 known to be exploited?
- 4 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.