GSD-2023-28448
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
Versionize is a framework for version tolerant serializion/deserialization of Rust data structures, designed for usecases that need fast deserialization times and minimal size overhead. An issue was discovered in the ‘Versionize::deserialize’ implementation provided by the ‘versionize’ crate for ‘vmm_sys_utils::fam::FamStructWrapper', which can lead to out of bounds memory accesses. The impact started with version 0.1.1. The issue was corrected in version 0.1.10 by inserting a check that verifies, for any deserialized header, the lengths of compared flexible arrays are equal and aborting deserialization otherwise.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-28448",
"id": "GSD-2023-28448"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "Versionize is a framework for version tolerant serializion/deserialization of Rust data structures, designed for usecases that need fast deserialization times and minimal size overhead. An issue was discovered in the \u2018Versionize::deserialize\u2019 implementation provided by the \u2018versionize\u2019 crate for \u2018vmm_sys_utils::fam::FamStructWrapper\u0027, which can lead to out of bounds memory accesses. The impact started with version 0.1.1. The issue was corrected in version 0.1.10 by inserting a check that verifies, for any deserialized header, the lengths of compared flexible arrays are equal and aborting deserialization otherwise.",
"id": "GSD-2023-28448",
"modified": "2023-12-13T01:20:47.544215Z",
"schema_version": "1.4.0"
}
},
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}
]
},
"impact": {
"cvss": [
{
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "LOW",
"baseScore": 5.7,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
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"name": "https://github.com/firecracker-microvm/versionize/security/advisories/GHSA-8vxc-r5wp-vgvc",
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"impact": {
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"attackVector": "NETWORK",
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"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
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"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-03-31T14:23Z",
"publishedDate": "2023-03-24T20:15Z"
}
}
}
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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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