BREW-SCIPY-CVE-2023-25399 (CVE-2023-25399)
Vulnerability from osv_homebrew – Published: 2026-08-13 17:34 – Updated: 2026-08-23 21:37 – Source website
VLAI
Details
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.
Severity
5.5 (Medium)
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"upstream_fixed_in": "1.10.0"
},
"package": {
"ecosystem": "Homebrew",
"name": "scipy",
"purl": "pkg:brew/scipy"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.18.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "git",
"upstream_evidence": [
{
"ecosystem": "GIT",
"key": "https://github.com/scipy/scipy",
"name": "https://github.com/scipy/scipy",
"strategy": "git",
"subject_version": "1.18.1"
},
{
"ecosystem": "PyPI",
"key": "pkg:pypi/scipy@1.18.1",
"name": "scipy",
"strategy": "registry",
"subject_version": "1.18.1"
},
{
"ecosystem": "Debian",
"key": "Debian/scipy",
"name": "scipy",
"strategy": "distro"
},
{
"ecosystem": "GIT",
"key": "upstream:https://github.com/scipy/scipy",
"name": "https://github.com/scipy/scipy",
"strategy": "distro",
"subject_version": "1.18.1"
},
{
"ecosystem": "PyPI",
"key": "upstream:pkg:pypi/scipy@1.18.1",
"name": "scipy",
"strategy": "distro",
"subject_version": "1.18.1"
},
{
"ecosystem": "Ubuntu",
"key": "Ubuntu/scipy",
"name": "scipy",
"strategy": "distro"
}
]
},
"details": "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.",
"id": "BREW-scipy-CVE-2023-25399",
"modified": "2026-08-23T21:37:11Z",
"published": "2026-08-13T17:34:19Z",
"references": [
{
"type": "WEB",
"url": "http://www.square16.org/achievement/cve-2023-25399/"
},
{
"type": "ADVISORY",
"url": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2023/25xxx/CVE-2023-25399.json"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2023-25399"
},
{
"type": "REPORT",
"url": "https://github.com/scipy/scipy/issues/16235"
},
{
"type": "REPORT",
"url": "https://github.com/scipy/scipy/issues/16235#issuecomment-1625361328"
},
{
"type": "FIX",
"url": "https://github.com/scipy/scipy/pull/16397"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"upstream": [
"CVE-2023-25399",
"GHSA-9jx5-6pgf-crrp",
"PYSEC-2023-102"
]
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Loading…
The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Loading…
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
Loading…