CVE-2026-63419 (GCVE-0-2026-63419)
Vulnerability from cvelistv5 – Published: 2026-09-18 15:46 – Updated: 2026-09-18 17:34
VLAI
EPSS
VEX
Title
OpenImageIO: IFF ZBUFFER tile read writes past caller tile buffer
Summary
OpenImageIO is a toolset for reading, writing, and manipulating image files of any image file format relevant to VFX / animation. Prior to 3.0.21.0, 3.1.16.0, and 3.2.0.3-beta1, A zbuffer-only tiled iff is exposed with a 16-bit public imagespec while the decoder retains a 32-bit internal pixel size. iffinput::read_native_tile() copies according to m_header.pixel_bytes() rather than imagespec::tile_bytes(true), and a failed read can leave m_buf nonempty so a later call copies partially initialized data into the undersized caller buffer, resulting in a heap out-of-bounds write and memory corruption. The affected implementation is identified by src/iff.imageio/iffinput.cpp, IffInput::read_native_tile(), ImageSpec::tile_bytes(true), m_header.pixel_bytes(), ZBUFFER, and m_buf, which define the relevant source path, functions, state, and trigger. This issue is fixed in versions 3.0.21.0, 3.1.16.0, and 3.2.0.3-beta1.
Severity
7.8 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-18 17:33 UTC
CWE
- CWE-787 - Out-of-bounds Write
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/AcademySoftwareFoundation/Open… | x_refsource_CONFIRM |
| https://github.com/AcademySoftwareFoundation/Open… | x_refsource_MISC |
| https://github.com/AcademySoftwareFoundation/Open… | x_refsource_MISC |
| https://github.com/AcademySoftwareFoundation/Open… | x_refsource_MISC |
| https://github.com/AcademySoftwareFoundation/Open… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| AcademySoftwareFoundation | OpenImageIO |
Affected:
< 3.0.21.0
Affected: >= 3.1.0.0, < 3.1.16.0 Affected: >= 3.2.0.0-dev, < 3.2.0.3-beta1 |
guessed |
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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
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