AcademySoftwareFoundation OpenEXR up to 3.2.9/3.3.11/3.4.12 DeepImage API set newNumSamples out-of-bounds write
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.6 | $0-$5k | 1.93- |
Summary
A vulnerability was found in AcademySoftwareFoundation OpenEXR up to 3.2.9/3.3.11/3.4.12. It has been classified as critical. This affects the function Imf_4_0::SampleCountChannel::set of the component DeepImage API. Performing a manipulation of the argument newNumSamples results in out-of-bounds write.
This vulnerability is known as CVE-2026-55059. Remote exploitation of the attack is possible. No exploit is available.
Details
A vulnerability classified as critical has been found in AcademySoftwareFoundation OpenEXR up to 3.2.9/3.3.11/3.4.12. This affects the function Imf_4_0::SampleCountChannel::set of the component DeepImage API. The manipulation of the argument newNumSamples with an unknown input leads to a out-of-bounds write vulnerability. CWE is classifying the issue as CWE-787. The product writes data past the end, or before the beginning, of the intended buffer. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
OpenEXR is the reference implementation and specification for the EXR image format, widely used in the motion picture industry. Versions prior to 3.2.10, 3.3.12 and 3.4.13 contain a heap out-of-bounds write in Imf_4_0::SampleCountChannel::set(int r, unsigned int newNumSamples[]). The row-based sample-count setter computes the target Y coordinate with dataWindow.min.x instead of dataWindow.min.y. For a valid deep image data window where min.x != min.y, a valid row index can be translated into an invalid Y coordinate, causing writes before the allocated _numSamples buffer. The vulnerability is reachable through the public OpenEXRUtil DeepImage API and can lead to heap corruption and process crashes. This issue has been fixed in versions 3.2.10, 3.3.12 and 3.4.13.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-55059 since 06/16/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 3.2.10, 3.3.12 or 3.4.13 eliminates this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
- 3.2.0
- 3.2.1
- 3.2.2
- 3.2.3
- 3.2.4
- 3.2.5
- 3.2.6
- 3.2.7
- 3.2.8
- 3.2.9
- 3.3.0
- 3.3.1
- 3.3.2
- 3.3.3
- 3.3.4
- 3.3.5
- 3.3.6
- 3.3.7
- 3.3.8
- 3.3.9
- 3.3.10
- 3.3.11
- 3.4.0
- 3.4.1
- 3.4.2
- 3.4.3
- 3.4.4
- 3.4.5
- 3.4.6
- 3.4.7
- 3.4.8
- 3.4.9
- 3.4.10
- 3.4.11
- 3.4.12
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.7VulDB Meta Temp Score: 6.6
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.1
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Out-of-bounds writeCWE: CWE-787 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: OpenEXR 3.2.10/3.3.12/3.4.13
Timeline
06/16/2026 CVE reserved08/25/2026 Advisory disclosed
08/25/2026 VulDB entry created
08/25/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-55059 (🔒)
GCVE (CVE): GCVE-0-2026-55059
GCVE (VulDB): GCVE-100-394875
Entry
Created: 08/25/2026 02:42Changes: 08/25/2026 02:42 (66)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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