OPENSUSE-SU-2024:13827-1
Vulnerability from csaf_opensuse - Published: 2024-06-15 00:00 - Updated: 2024-06-15 00:00Summary
python310-Pillow-10.3.0-1.1 on GA media
Severity
Moderate
Notes
Title of the patch: python310-Pillow-10.3.0-1.1 on GA media
Description of the patch: These are all security issues fixed in the python310-Pillow-10.3.0-1.1 package on the GA media of openSUSE Tumbleweed.
Patchnames: openSUSE-Tumbleweed-2024-13827
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
Affected products
Recommended
24 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Tumbleweed:python310-Pillow-10.3.0-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python310-Pillow-10.3.0-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python310-Pillow-10.3.0-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python310-Pillow-10.3.0-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python310-Pillow-tk-10.3.0-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python310-Pillow-tk-10.3.0-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python310-Pillow-tk-10.3.0-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python310-Pillow-tk-10.3.0-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-Pillow-10.3.0-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-Pillow-10.3.0-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-Pillow-10.3.0-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-Pillow-10.3.0-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-Pillow-tk-10.3.0-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-Pillow-tk-10.3.0-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-Pillow-tk-10.3.0-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python311-Pillow-tk-10.3.0-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python312-Pillow-10.3.0-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python312-Pillow-10.3.0-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python312-Pillow-10.3.0-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python312-Pillow-10.3.0-1.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python312-Pillow-tk-10.3.0-1.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python312-Pillow-tk-10.3.0-1.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python312-Pillow-tk-10.3.0-1.1.s390x | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Tumbleweed:python312-Pillow-tk-10.3.0-1.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
moderate
6.5 (Medium)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
moderate
6.5 (Medium)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
moderate
5.5 (Medium)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
moderate
8.1 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
8.1 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
8.8 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
8.1 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
7.5 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
9.8 (Critical)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
critical
7.5 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
7.5 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
7.5 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
7.5 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
7.5 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
7.5 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
7.3 (High)
Affected products
Recommended
24 products, the same list as for
CVE-2014-3589
Threats
Impact
important
References
62 references
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{
"category": "self",
"summary": "SUSE CVE CVE-2014-3589 page",
"url": "https://www.suse.com/security/cve/CVE-2014-3589/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2014-3598 page",
"url": "https://www.suse.com/security/cve/CVE-2014-3598/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2016-0740 page",
"url": "https://www.suse.com/security/cve/CVE-2016-0740/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2016-0775 page",
"url": "https://www.suse.com/security/cve/CVE-2016-0775/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2016-3076 page",
"url": "https://www.suse.com/security/cve/CVE-2016-3076/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2020-15999 page",
"url": "https://www.suse.com/security/cve/CVE-2020-15999/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2020-35653 page",
"url": "https://www.suse.com/security/cve/CVE-2020-35653/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2020-35654 page",
"url": "https://www.suse.com/security/cve/CVE-2020-35654/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2020-35655 page",
"url": "https://www.suse.com/security/cve/CVE-2020-35655/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2021-23437 page",
"url": "https://www.suse.com/security/cve/CVE-2021-23437/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2021-25289 page",
"url": "https://www.suse.com/security/cve/CVE-2021-25289/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2021-25290 page",
"url": "https://www.suse.com/security/cve/CVE-2021-25290/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2021-25291 page",
"url": "https://www.suse.com/security/cve/CVE-2021-25291/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2021-25292 page",
"url": "https://www.suse.com/security/cve/CVE-2021-25292/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2021-25293 page",
"url": "https://www.suse.com/security/cve/CVE-2021-25293/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2021-27921 page",
"url": "https://www.suse.com/security/cve/CVE-2021-27921/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2021-34552 page",
"url": "https://www.suse.com/security/cve/CVE-2021-34552/"
},
{
"category": "self",
"summary": "SUSE CVE CVE-2024-28219 page",
"url": "https://www.suse.com/security/cve/CVE-2024-28219/"
}
],
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],
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},
{
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],
"category": "architecture",
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{
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{
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{
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{
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},
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},
{
"category": "default_component_of",
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"name": "python310-Pillow-10.3.0-1.1.x86_64 as component of openSUSE Tumbleweed",
"product_id": "openSUSE Tumbleweed:python310-Pillow-10.3.0-1.1.x86_64"
},
"product_reference": "python310-Pillow-10.3.0-1.1.x86_64",
"relates_to_product_reference": "openSUSE Tumbleweed"
},
{
"category": "default_component_of",
"full_product_name": {
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},
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},
{
"category": "default_component_of",
"full_product_name": {
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},
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{
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"ids": [
{
"system_name": "SUSE CVE Page",
"text": "https://www.suse.com/security/cve/CVE-2024-28219"
}
],
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{
"category": "general",
"text": "In _imagingcms.c in Pillow before 10.3.0, a buffer overflow exists because strcpy is used instead of strncpy.",
"title": "CVE description"
}
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}
Loading…
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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.
- 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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