oesa-2022-1745
Vulnerability from osv_openeuler
Published
2022-07-08 11:05
Modified
2026-08-06 11:05
Summary
libjpeg-turbo security update
Details
Security Fix(es):
The PPM reader in libjpeg-turbo through 2.0.90 mishandles use of tjLoadImage for loading a 16-bit binary PPM file into a grayscale buffer and loading a 16-bit binary PGM file into an RGB buffer. This is related to a heap-based buffer overflow in the get_word_rgb_row function in rdppm.c.(CVE-2021-46822)
Severity
5.5 (Medium)
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"ecosystem_specific": {
"aarch64": [
"libjpeg-turbo-devel-2.0.5-2.oe1.aarch64.rpm",
"libjpeg-turbo-debugsource-2.0.5-2.oe1.aarch64.rpm",
"libjpeg-turbo-2.0.5-2.oe1.aarch64.rpm",
"libjpeg-turbo-debuginfo-2.0.5-2.oe1.aarch64.rpm"
],
"noarch": [
"libjpeg-turbo-help-2.0.5-2.oe1.noarch.rpm"
],
"src": [
"libjpeg-turbo-2.0.5-2.oe1.src.rpm"
],
"x86_64": [
"libjpeg-turbo-debugsource-2.0.5-2.oe1.x86_64.rpm",
"libjpeg-turbo-devel-2.0.5-2.oe1.x86_64.rpm",
"libjpeg-turbo-2.0.5-2.oe1.x86_64.rpm",
"libjpeg-turbo-debuginfo-2.0.5-2.oe1.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:20.03-LTS-SP1",
"name": "libjpeg-turbo",
"purl": "pkg:rpm/openEuler/libjpeg-turbo\u0026distro=openEuler-20.03-LTS-SP1"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.0.5-2.oe1"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"ecosystem_specific": {
"aarch64": [
"libjpeg-turbo-devel-2.0.5-2.oe1.aarch64.rpm",
"libjpeg-turbo-debugsource-2.0.5-2.oe1.aarch64.rpm",
"libjpeg-turbo-debuginfo-2.0.5-2.oe1.aarch64.rpm",
"libjpeg-turbo-2.0.5-2.oe1.aarch64.rpm"
],
"noarch": [
"libjpeg-turbo-help-2.0.5-2.oe1.noarch.rpm"
],
"src": [
"libjpeg-turbo-2.0.5-2.oe1.src.rpm"
],
"x86_64": [
"libjpeg-turbo-devel-2.0.5-2.oe1.x86_64.rpm",
"libjpeg-turbo-debuginfo-2.0.5-2.oe1.x86_64.rpm",
"libjpeg-turbo-debugsource-2.0.5-2.oe1.x86_64.rpm",
"libjpeg-turbo-2.0.5-2.oe1.x86_64.rpm"
]
},
"package": {
"ecosystem": "openEuler:20.03-LTS-SP3",
"name": "libjpeg-turbo",
"purl": "pkg:rpm/openEuler/libjpeg-turbo\u0026distro=openEuler-20.03-LTS-SP3"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "2.0.5-2.oe1"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"severity": "Medium"
},
"details": "\r\n\r\nSecurity Fix(es):\r\n\r\nThe PPM reader in libjpeg-turbo through 2.0.90 mishandles use of tjLoadImage for loading a 16-bit binary PPM file into a grayscale buffer and loading a 16-bit binary PGM file into an RGB buffer. This is related to a heap-based buffer overflow in the get_word_rgb_row function in rdppm.c.(CVE-2021-46822)",
"id": "OESA-2022-1745",
"modified": "2026-08-06T11:05:01Z",
"published": "2022-07-08T11:05:01Z",
"references": [
{
"type": "ADVISORY",
"url": "https://www.openeuler.org/en/security/safety-bulletin/detail.html?id=openEuler-SA-2022-1745"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2021-46822"
}
],
"schema_version": "1.7.2",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
],
"summary": "libjpeg-turbo security update",
"upstream": [
"CVE-2021-46822"
]
}
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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.
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- 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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