InternationalColorConsortium iccDEV up to 2.3.1.5 CIccXform3DLut::Apply buffer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.9 | $0-$5k | 0.00 |
Summary
A vulnerability was found in InternationalColorConsortium iccDEV up to 2.3.1.5. It has been rated as critical. Impacted is the function CIccXform3DLut::Apply. Performing a manipulation results in buffer overflow.
This vulnerability is identified as CVE-2026-31795. The attack can be initiated remotely. There is not any exploit available.
Upgrading the affected component is advised.
Details
A vulnerability classified as critical has been found in InternationalColorConsortium iccDEV up to 2.3.1.5. This affects the function CIccXform3DLut::Apply. The manipulation with an unknown input leads to a buffer overflow vulnerability. CWE is classifying the issue as CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
iccDEV provides a set of libraries and tools for working with ICC color management profiles. Prior to 2.3.1.5, there is a stack buffer overflow write in CIccXform3DLut::Apply() corrupting stack memory or crash. This vulnerability is fixed in 2.3.1.5.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-31795 since 03/09/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 2.3.1.5 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.0VulDB Meta Temp Score: 6.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.8
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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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Buffer overflowCWE: CWE-120 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: iccDEV 2.3.1.5
Patch: github.com
Timeline
03/09/2026 CVE reserved03/10/2026 Advisory disclosed
03/10/2026 VulDB entry created
03/14/2026 VulDB entry last update
Sources
Product: github.comAdvisory: 649
Status: Confirmed
CVE: CVE-2026-31795 (🔒)
GCVE (CVE): GCVE-0-2026-31795
GCVE (VulDB): GCVE-100-350091
Entry
Created: 03/10/2026 19:49Updated: 03/14/2026 03:59
Changes: 03/10/2026 19:49 (67), 03/14/2026 03:59 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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