GSD-2023-42447
Vulnerability from gsd - Updated: 2023-12-13 01:20Details
blurhash-rs is a pure Rust implementation of Blurhash, software for encoding images into ASCII strings that can be turned into a gradient of colors representing the original image. In version 0.1.1, the blurhash parsing code may panic due to multiple panic-guarded out-of-bounds accesses on untrusted input. In a typical deployment, this may get triggered by feeding a maliciously crafted blurhashes over the network. These may include UTF-8 compliant strings containing multi-byte UTF-8 characters. A patch is available in version 0.2.0, which requires user intervention because of slight API churn. No known workarounds are available.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2023-42447",
"id": "GSD-2023-42447"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
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"details": "blurhash-rs is a pure Rust implementation of Blurhash, software for encoding images into ASCII strings that can be turned into a gradient of colors representing the original image. In version 0.1.1, the blurhash parsing code may panic due to multiple panic-guarded out-of-bounds accesses on untrusted input. In a typical deployment, this may get triggered by feeding a maliciously crafted blurhashes over the network. These may include UTF-8 compliant strings containing multi-byte UTF-8 characters. A patch is available in version 0.2.0, which requires user intervention because of slight API churn. No known workarounds are available.",
"id": "GSD-2023-42447",
"modified": "2023-12-13T01:20:21.904308Z",
"schema_version": "1.4.0"
}
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"value": "blurhash-rs is a pure Rust implementation of Blurhash, software for encoding images into ASCII strings that can be turned into a gradient of colors representing the original image. In version 0.1.1, the blurhash parsing code may panic due to multiple panic-guarded out-of-bounds accesses on untrusted input. In a typical deployment, this may get triggered by feeding a maliciously crafted blurhashes over the network. These may include UTF-8 compliant strings containing multi-byte UTF-8 characters. A patch is available in version 0.2.0, which requires user intervention because of slight API churn. No known workarounds are available."
}
]
},
"impact": {
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 8.6,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
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"value": "blurhash-rs is a pure Rust implementation of Blurhash, software for encoding images into ASCII strings that can be turned into a gradient of colors representing the original image. In version 0.1.1, the blurhash parsing code may panic due to multiple panic-guarded out-of-bounds accesses on untrusted input. In a typical deployment, this may get triggered by feeding a maliciously crafted blurhashes over the network. These may include UTF-8 compliant strings containing multi-byte UTF-8 characters. A patch is available in version 0.2.0, which requires user intervention because of slight API churn. No known workarounds are available."
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"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
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},
"lastModifiedDate": "2023-09-22T18:51Z",
"publishedDate": "2023-09-19T15:15Z"
}
}
}
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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 |
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Nomenclature
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- Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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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