CVE-2026-3145 (GCVE-0-2026-3145)
Vulnerability from cvelistv5 – Published: 2026-02-25 02:02 – Updated: 2026-02-25 20:28 X_Open Source
VLAI
EPSS
VEX
Title
libvips matrixload.c vips_foreign_load_matrix_header memory corruption
Summary
A flaw has been found in libvips up to 8.18.0. The affected element is the function vips_foreign_load_matrix_file_is_a/vips_foreign_load_matrix_header of the file libvips/foreign/matrixload.c. Executing a manipulation can lead to memory corruption. The attack needs to be launched locally. This patch is called d4ce337c76bff1b278d7085c3c4f4725e3aa6ece. A patch should be applied to remediate this issue.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-25 20:19 UTC
CWE
- CWE-119 - Memory Corruption
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.347651 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.347651 | signaturepermissions-required |
| https://vuldb.com/?submit.758690 | third-party-advisory |
| https://github.com/libvips/libvips/issues/4876 | issue-tracking |
| https://github.com/libvips/libvips/pull/4888 | issue-trackingpatch |
| https://github.com/libvips/libvips/commit/d4ce337… | patch |
| https://github.com/libvips/libvips/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| n/a | libvips |
Affected:
8.0
Affected: 8.1 Affected: 8.2 Affected: 8.3 Affected: 8.4 Affected: 8.5 Affected: 8.6 Affected: 8.7 Affected: 8.8 Affected: 8.9 Affected: 8.10 Affected: 8.11 Affected: 8.12 Affected: 8.13 Affected: 8.14 Affected: 8.15 Affected: 8.16 Affected: 8.17 Affected: 8.18.0 cpe:2.3:a:libvips:libvips:*:*:*:*:*:*:*:* |
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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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