OPENSUSE-SU-2024:10952-1
Vulnerability from csaf_opensuse - Published: 2024-06-15 00:00 - Updated: 2026-09-20 20:08Summary
libjpeg-turbo-2.1.1-65.2 on GA media
Severity
Moderate
Notes
Title of the patch: libjpeg-turbo-2.1.1-65.2 on GA media
Description of the patch: These are all security issues fixed in the libjpeg-turbo-2.1.1-65.2 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2024-10952
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
5.3 (Medium)
Affected products
Recommended
28 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:libjpeg-turbo-0:2.1.1-65.2.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg-turbo-0:2.1.1-65.2.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg-turbo-0:2.1.1-65.2.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg-turbo-0:2.1.1-65.2.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-0:8.2.2-65.2.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-0:8.2.2-65.2.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-0:8.2.2-65.2.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-0:8.2.2-65.2.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-32bit-0:8.2.2-65.2.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-32bit-0:8.2.2-65.2.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-32bit-0:8.2.2-65.2.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-32bit-0:8.2.2-65.2.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-devel-0:8.2.2-65.2.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-devel-0:8.2.2-65.2.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-devel-0:8.2.2-65.2.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-devel-0:8.2.2-65.2.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-devel-32bit-0:8.2.2-65.2.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-devel-32bit-0:8.2.2-65.2.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-devel-32bit-0:8.2.2-65.2.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libjpeg8-devel-32bit-0:8.2.2-65.2.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libturbojpeg0-0:8.2.2-65.2.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libturbojpeg0-0:8.2.2-65.2.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libturbojpeg0-0:8.2.2-65.2.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libturbojpeg0-0:8.2.2-65.2.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libturbojpeg0-32bit-0:8.2.2-65.2.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libturbojpeg0-32bit-0:8.2.2-65.2.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libturbojpeg0-32bit-0:8.2.2-65.2.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:libturbojpeg0-32bit-0:8.2.2-65.2.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
Affected products
Recommended
28 products, the same list as for
CVE-2017-15232
Threats
Impact
moderate
Affected products
Recommended
28 products, the same list as for
CVE-2017-15232
Threats
Impact
moderate
6.1 (Medium)
Affected products
Recommended
28 products, the same list as for
CVE-2017-15232
Threats
Impact
moderate
Affected products
Recommended
28 products, the same list as for
CVE-2017-15232
Threats
Impact
low
8.8 (High)
Affected products
Recommended
28 products, the same list as for
CVE-2017-15232
Threats
Impact
low
5.3 (Medium)
Affected products
Recommended
28 products, the same list as for
CVE-2017-15232
Threats
Impact
moderate
References
24 references
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"url": "https://www.suse.com/support/security/rating/"
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},
{
"category": "self",
"summary": "SUSE CVE CVE-2017-15232 page",
"url": "https://www.suse.com/security/cve/CVE-2017-15232/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2018-1152 page",
"url": "https://www.suse.com/security/cve/CVE-2018-1152/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2018-11813 page",
"url": "https://www.suse.com/security/cve/CVE-2018-11813/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2018-19644 page",
"url": "https://www.suse.com/security/cve/CVE-2018-19644/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2018-19664 page",
"url": "https://www.suse.com/security/cve/CVE-2018-19664/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2018-20330 page",
"url": "https://www.suse.com/security/cve/CVE-2018-20330/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2020-13790 page",
"url": "https://www.suse.com/security/cve/CVE-2020-13790/"
}
],
"title": "libjpeg-turbo-2.1.1-65.2 on GA media",
"tracking": {
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{
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},
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},
{
"category": "external",
"summary": "SUSE Bug 1120646 for CVE-2018-20330",
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}
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{
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"baseSeverity": "HIGH",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
"version": "3.0"
},
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"details": "low"
}
],
"title": "CVE-2018-20330"
},
{
"cve": "CVE-2020-13790",
"ids": [
{
"system_name": "SUSE CVE Page",
"text": "https://www.suse.com/security/cve/CVE-2020-13790"
}
],
"notes": [
{
"category": "general",
"text": "libjpeg-turbo 2.0.4, and mozjpeg 4.0.0, has a heap-based buffer over-read in get_rgb_row() in rdppm.c via a malformed PPM input file.",
"title": "CVE description"
}
],
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"url": "https://www.suse.com/security/cve/CVE-2020-13790"
},
{
"category": "external",
"summary": "SUSE Bug 1172491 for CVE-2020-13790",
"url": "https://bugzilla.suse.com/1172491"
}
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}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.