GSD-2021-22563
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
Invalid JPEG XL images using libjxl can cause an out of bounds access on a std::vector<std::vector<T>> when rendering splines. The OOB read access can either lead to a segfault, or rendering splines based on other process memory. It is recommended to upgrade past 0.6.0 or patch with https://github.com/libjxl/libjxl/pull/757
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-22563",
"description": "Invalid JPEG XL images using libjxl can cause an out of bounds access on a std::vector\u003cstd::vector\u003cT\u003e\u003e when rendering splines. The OOB read access can either lead to a segfault, or rendering splines based on other process memory. It is recommended to upgrade past 0.6.0 or patch with https://github.com/libjxl/libjxl/pull/757",
"id": "GSD-2021-22563",
"references": [
"https://security.archlinux.org/CVE-2021-22563"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-22563"
],
"details": "Invalid JPEG XL images using libjxl can cause an out of bounds access on a std::vector\u003cstd::vector\u003cT\u003e\u003e when rendering splines. The OOB read access can either lead to a segfault, or rendering splines based on other process memory. It is recommended to upgrade past 0.6.0 or patch with https://github.com/libjxl/libjxl/pull/757",
"id": "GSD-2021-22563",
"modified": "2023-12-13T01:23:24.319218Z",
"schema_version": "1.4.0"
}
},
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"DATE_PUBLIC": "2021-10-14T20:00:00.000Z",
"ID": "CVE-2021-22563",
"STATE": "PUBLIC",
"TITLE": "Memory Overread in libjxl"
},
"affects": {
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"product": {
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}
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"impact": {
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"availabilityImpact": "LOW",
"baseScore": 4.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:L/I:L/A:L",
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"refsource": "MISC",
"url": "https://github.com/libjxl/libjxl/issues/735"
},
{
"name": "https://github.com/libjxl/libjxl/pull/757",
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"url": "https://github.com/libjxl/libjxl/pull/757"
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"source": {
"discovery": "UNKNOWN"
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"nvd.nist.gov": {
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"impact": {
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"cvssV2": {
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"authentication": "NONE",
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"version": "2.0"
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"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L",
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},
"lastModifiedDate": "2021-11-03T15:10Z",
"publishedDate": "2021-11-01T13:15Z"
}
}
}
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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.
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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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