GSD-2020-27845
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
There's a flaw in src/lib/openjp2/pi.c of openjpeg in versions prior to 2.4.0. If an attacker is able to provide untrusted input to openjpeg's conversion/encoding functionality, they could cause an out-of-bounds read. The highest impact of this flaw is to application availability.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-27845",
"description": "There\u0027s a flaw in src/lib/openjp2/pi.c of openjpeg in versions prior to 2.4.0. If an attacker is able to provide untrusted input to openjpeg\u0027s conversion/encoding functionality, they could cause an out-of-bounds read. The highest impact of this flaw is to application availability.",
"id": "GSD-2020-27845",
"references": [
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"https://www.debian.org/security/2021/dsa-4882",
"https://access.redhat.com/errata/RHSA-2021:4251",
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"https://advisories.mageia.org/CVE-2020-27845.html",
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"gsd": {
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"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"date": "2021-07-20",
"description": "There\u0027s a flaw in `src/lib/openjp2/pi.c` of openjpeg If an attacker is able to provide untrusted input to openjpeg\u0027s `conversion/encoding` functionality, they could cause an out-of-bounds read. The highest impact of this flaw is to application availability.",
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"not_impacted": "All versions starting from 2.4.0",
"package_slug": "conan/openjpeg",
"pubdate": "2021-01-05",
"solution": "Upgrade to version 2.4.0 or above.",
"title": "Heap-based Buffer Overflow",
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"impact": {
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"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:N/A:P",
"version": "2.0"
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"exploitabilityScore": 8.6,
"impactScore": 2.9,
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"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
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"attackVector": "LOCAL",
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"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
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"scope": "UNCHANGED",
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"lastModifiedDate": "2022-10-06T19:06Z",
"publishedDate": "2021-01-05T18:15Z"
}
}
}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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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
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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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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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