GSD-2020-25575
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
** UNSUPPORTED WHEN ASSIGNED ** An issue was discovered in the failure crate through 0.1.5 for Rust. It may introduce "compatibility hazards" in some applications, and has a type confusion flaw when downcasting. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. NOTE: This may overlap CVE-2019-25010.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-25575",
"description": "** UNSUPPORTED WHEN ASSIGNED ** An issue was discovered in the failure crate through 0.1.5 for Rust. It may introduce \"compatibility hazards\" in some applications, and has a type confusion flaw when downcasting. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. NOTE: This may overlap CVE-2019-25010.",
"id": "GSD-2020-25575"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
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],
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"id": "GSD-2020-25575",
"modified": "2023-12-13T01:21:56.715488Z",
"schema_version": "1.4.0"
}
},
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"affects": {
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"value": "** UNSUPPORTED WHEN ASSIGNED ** An issue was discovered in the failure crate through 0.1.5 for Rust. It may introduce \"compatibility hazards\" in some applications, and has a type confusion flaw when downcasting. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. NOTE: This may overlap CVE-2019-25010."
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"name": "https://github.com/rust-lang-nursery/failure/issues/336",
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},
{
"lang": "es",
"value": "** NO COMPATIBLE CUANDO SE ASIGN\u00d3 ** Se detect\u00f3 un problema en la crate failure versiones hasta 0.1.5 para Rust. Presenta un fallo de confusi\u00f3n de tipo en el refinamiento de tipos. NOTA: Esta vulnerabilidad solo afecta a los productos que ya no son compatibles con el mantenedor. NOTA: Esto puede superponerse a CVE-2019-25010"
}
],
"id": "CVE-2020-25575",
"lastModified": "2024-04-11T01:08:01.143",
"metrics": {
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"published": "2020-09-14T19:15:11.397",
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]
}
}
}
}
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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.
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.
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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.
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