CVE-2026-19968 (GCVE-0-2026-19968)
Vulnerability from cvelistv5 – Published: 2026-08-17 00:45 – Updated: 2026-08-17 15:26 X_Open Source
VLAI
EPSS
VEX
Title
Open Asset Import Library Assimp 3DGS MDL7 Model LWOLoader.h ReadFaces_3DGS_MDL7 heap-based overflow
Summary
A weakness has been identified in Open Asset Import Library Assimp 17c12da. The affected element is the function Assimp::MDLImporter::ReadFaces_3DGS_MDL7 in the library code/AssetLib/LWO/LWOLoader.h of the component 3DGS MDL7 Model Parser. Executing a manipulation can lead to heap-based buffer overflow. The attack may be launched remotely. The exploit has been made available to the public and could be used for attacks. This patch is called ee77bb09a42a49843ac85ef64c14d2328b251df1. Applying a patch is advised to resolve this issue.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-17 15:26 UTC
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/391145 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/391145/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-19968 | third-party-advisory |
| https://vuldb.com/submit/873129 | third-party-advisory |
| https://github.com/assimp/assimp/issues/6630 | issue-tracking |
| https://github.com/assimp/assimp/pull/6717 | issue-trackingpatch |
| https://github.com/user-attachments/files/2742509… | exploit |
| https://github.com/assimp/assimp/commit/ee77bb09a… | patch |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Open Asset Import Library | Assimp |
Affected:
17c12da
cpe:2.3:a:assimp:assimp:*:*:*:*:*:*:*:* |
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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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