GHSA-P4M5-32PR-2HQR
Vulnerability from github – Published: 2024-02-26 20:04 – Updated: 2024-02-26 20:04
VLAI
Summary
PyPop C extensions possible vulnerability: missing arguments and redundant null pointers
Details
Impact
Code scanning revealed possible vulnerability in C extensions for PyPop: incorrect function calls (missing arguments or wrongly typed arguments) and redundant null pointers.
Patches
The problem has been patched and fixed in the latest release of PyPop: 1.0.2. Please upgrade your PyPop installation via:
pip install -U pypop-genomics
Workarounds
No. Upgrade to the latest package: 1.0.2.
References
N/A
{
"affected": [
{
"package": {
"ecosystem": "PyPI",
"name": "pypop-genomics"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.0.2"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [],
"database_specific": {
"cwe_ids": [],
"github_reviewed": true,
"github_reviewed_at": "2024-02-26T20:04:19Z",
"nvd_published_at": null,
"severity": "LOW"
},
"details": "### Impact\nCode scanning revealed possible vulnerability in C extensions for PyPop: incorrect function calls (missing arguments or wrongly typed arguments) and redundant null pointers.\n\n### Patches\nThe problem has been patched and fixed in the latest release of PyPop: 1.0.2. Please upgrade your PyPop installation via:\n\n```\npip install -U pypop-genomics\n```\n\n### Workarounds\nNo. Upgrade to the latest package: 1.0.2.\n\n### References\nN/A\n",
"id": "GHSA-p4m5-32pr-2hqr",
"modified": "2024-02-26T20:04:19Z",
"published": "2024-02-26T20:04:19Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/alexlancaster/pypop/security/advisories/GHSA-p4m5-32pr-2hqr"
},
{
"type": "WEB",
"url": "https://github.com/alexlancaster/pypop/commit/2e5c495dd7684f67f6682e80e324351039a28262"
},
{
"type": "PACKAGE",
"url": "https://github.com/alexlancaster/pypop"
},
{
"type": "WEB",
"url": "https://github.com/alexlancaster/pypop/releases/tag/v1.0.2"
}
],
"schema_version": "1.4.0",
"severity": [],
"summary": "PyPop C extensions possible vulnerability: missing arguments and redundant null pointers"
}
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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.
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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.
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.
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