OPENSUSE-SU-2026:21521-1
Vulnerability from csaf_opensuse - Published: 2026-08-03 10:59 - Updated: 2026-09-17 17:41Summary
Security update for gimp
Severity
Important
Notes
Title of the patch: Security update for gimp
Description of the patch: This update for gimp fixes the following issues:
Changes in gimp:
- CVE-2026-66757: signed integer overflow in `file-sgi` causes the plugin to crash when RLE-compressed SGI images are processed (bsc#1273151)
- CVE-2026-66758: integer overflow in `file-fits` plugin causes a heap-based buffer overflow when crafted FITS images are processed (bsc#1273152)
- CVE-2026-66759: out-of-bounds read in `file-icns` plugin causes information disclosure or crash when crafted ICNS images are processed (bsc#1273153)
Patchnames: openSUSE-Leap-16.0-packagehub-463
Terms of use: CSAF 2.0 data is provided by SUSE under the Creative Commons License 4.0 with Attribution (CC-BY-4.0).
5.5 (Medium)
Affected products
Recommended
25 products
| Product | Identifier | Version | Remediation |
|---|---|---|---|
| Unresolved product id: openSUSE Leap 16.0:gimp-0:3.0.8-bp160.6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-0:3.0.8-bp160.6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-0:3.0.8-bp160.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-devel-0:3.0.8-bp160.6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-devel-0:3.0.8-bp160.6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-devel-0:3.0.8-bp160.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-extension-goat-excercises-0:3.0.8-bp160.6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-extension-goat-excercises-0:3.0.8-bp160.6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-extension-goat-excercises-0:3.0.8-bp160.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-lang-0:3.0.8-bp160.6.1.noarch | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-plugin-aa-0:3.0.8-bp160.6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-plugin-aa-0:3.0.8-bp160.6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-plugin-aa-0:3.0.8-bp160.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-plugin-python3-0:3.0.8-bp160.6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-plugin-python3-0:3.0.8-bp160.6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-plugin-python3-0:3.0.8-bp160.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-vala-0:3.0.8-bp160.6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-vala-0:3.0.8-bp160.6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:gimp-vala-0:3.0.8-bp160.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:libgimp-3_0-0-0:3.0.8-bp160.6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:libgimp-3_0-0-0:3.0.8-bp160.6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:libgimp-3_0-0-0:3.0.8-bp160.6.1.x86_64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:libgimpui-3_0-0-0:3.0.8-bp160.6.1.aarch64 | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:libgimpui-3_0-0-0:3.0.8-bp160.6.1.ppc64le | — |
Vendor Fix
|
|
| Unresolved product id: openSUSE Leap 16.0:libgimpui-3_0-0-0:3.0.8-bp160.6.1.x86_64 | — |
Vendor Fix
|
Threats
Impact
moderate
7.8 (High)
Affected products
Recommended
25 products, the same list as for
CVE-2026-66757
Threats
Impact
important
6.1 (Medium)
Affected products
Recommended
25 products, the same list as for
CVE-2026-66757
Threats
Impact
moderate
References
16 references
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},
{
"category": "product_version",
"name": "gimp-plugin-python3-0:3.0.8-bp160.6.1.x86_64",
"product": {
"name": "gimp-plugin-python3-0:3.0.8-bp160.6.1.x86_64",
"product_id": "gimp-plugin-python3-0:3.0.8-bp160.6.1.x86_64",
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},
{
"category": "product_version",
"name": "gimp-vala-0:3.0.8-bp160.6.1.x86_64",
"product": {
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Loading…
Loading…
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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