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alsa-2026:7682
Vulnerability from osv_almalinux
Published
2026-04-13 00:00
Modified
2026-04-14 12:33
Summary
Important: openexr security update
Details
OpenEXR is an open-source high-dynamic-range floating-point image file format for high-quality image processing and storage. This document presents a brief overview of OpenEXR and explains concepts that are specific to this format. This package containes the binaries for OpenEXR.
Security Fix(es):
- openexr: OpenEXR: Arbitrary code execution via integer overflow in EXR file processing (CVE-2026-27622)
For more details about the security issue(s), including the impact, a CVSS score, acknowledgments, and other related information, refer to the CVE page(s) listed in the References section.
References
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CVE-2026-27622 (GCVE-0-2026-27622)
Vulnerability from cvelistv5 – Published: 2026-03-03 22:42 – Updated: 2026-06-30 12:08
VLAI
EPSS
Title
OpenEXR CompositeDeepScanLine integer-overflow leads to heap OOB write
Summary
OpenEXR provides the specification and reference implementation of the EXR file format, an image storage format for the motion picture industry. In CompositeDeepScanLine::readPixels, per-pixel totals are accumulated in vector<unsigned int> total_sizes for attacker-controlled large counts across many parts, total_sizes[ptr] wraps modulo 2^32. overall_sample_count is then derived from wrapped totals and used in samples[channel].resize(overall_sample_count). Decode pointer setup/consumption proceeds with true sample counts, and write operations in core unpack (generic_unpack_deep_pointers) overrun the undersized composite sample buffer. This vulnerability is fixed in v3.2.6, v3.3.8, and v3.4.6.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: total
CISA Coordinator (v2.0.3)
Assigner
References
20 references
Impacted products
26 products
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Trend slope:
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(linear fit over daily sighting counts)
Show additional events:
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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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