PatchSiren cyber security CVE debrief
CVE-2026-59984 AcademySoftwareFoundation CVE debrief
CVE-2026-59984 is a vulnerability in OpenEXR, a reference implementation and specification for the EXR image format. A crafted B44-compressed scanline EXR can cause an out-of-bounds write, leading to denial of service and memory corruption on ILP32 builds of OpenEXR versions 3.1.0 through 3.2.10, 3.3.0 through 3.3.12, and 3.4.0 through 3.4.13. This issue is fixed in versions 3.2.11, 3.3.13, and 3.4.14.
- Vendor
- AcademySoftwareFoundation
- Product
- openexr
- CVSS
- MEDIUM 5.5
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-25
- Original CVE updated
- 2026-09-09
- Advisory published
- 2026-08-25
- Advisory updated
- 2026-09-09
Who should care
Defenders responsible for systems processing EXR images, especially in motion picture industry environments, should assess exposure and prioritize patching vulnerable OpenEXR installations.
Why it matters
CVE-2026-59984 is a vulnerability in OpenEXR that can lead to denial of service and memory corruption. Defenders should prioritize patching vulnerable installations, especially in environments processing EXR images.
- Denial of service due to out-of-bounds write
- Memory corruption on ILP32 builds
- Potential for exploitation requires verification
- Patching priority for vulnerable OpenEXR versions
Technical summary
The OpenEXR library is vulnerable to an out-of-bounds write when processing crafted B44-compressed scanline EXR images. This can lead to denial of service and memory corruption on ILP32 builds of OpenEXR versions 3.1.0 through 3.2.10, 3.3.0 through 3.3.12, and 3.4.0 through 3.4.13. Affected product deployments should be reviewed for exposure, and defenders should prioritize patching vulnerable OpenEXR installations, especially in environments where EXR images are processed or untrusted images are handled. The CVE record and NVD entry provide details on the vulnerability, affected versions, and fixed versions.
Defensive priority
Defenders should prioritize patching vulnerable OpenEXR installations, especially in environments where EXR images are processed or untrusted images are handled.
Recommended defensive actions
- Patch OpenEXR installations to versions 3.2.11, 3.3.13, or 3.4.14
- Restrict processing of untrusted EXR images
- Monitor for suspicious EXR image processing activity
- Review compensating controls for exposed systems while remediation is scheduled and verified
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and NVD entry provide details on the vulnerability, affected versions, and fixed versions. However, the corpus does not establish evidence of exploitation or specific victim environments.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-59984 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-59984
CVE Program - Official CVE Program record with source-provided CVE metadata.
-
CVE-2026-59984 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-59984
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://github.com/AcademySoftwareFoundation/openexr/releases/tag/v3.2.11
-
Source reference
Unverified legacy reference
URL: https://github.com/AcademySoftwareFoundation/openexr/releases/tag/v3.3.13
-
Source reference
Unverified legacy reference
URL: https://github.com/AcademySoftwareFoundation/openexr/releases/tag/v3.4.14
-
Source reference
Unverified legacy reference
URL: https://github.com/AcademySoftwareFoundation/openexr/security/advisories/GHSA-92pq-9qv4-g68q
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.