Red Hat Enterprise Linux Raw Data Export g_malloc integer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $5k-$25k | 1.45- |
Summary
A vulnerability identified as very critical has been detected in Red Hat Enterprise Linux. Impacted is the function g_malloc of the component Raw Data Export. This manipulation causes integer overflow.
This vulnerability appears as CVE-2026-106066. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability was found in Red Hat Enterprise Linux (affected version not known). It has been declared as very critical. Affected by this vulnerability is the function g_malloc of the component Raw Data Export. The manipulation with an unknown input leads to a integer overflow vulnerability. The CWE definition for the vulnerability is CWE-190. The product performs a calculation that can produce an integer overflow or wraparound, when the logic assumes that the resulting value will always be larger than the original value. This can introduce other weaknesses when the calculation is used for resource management or execution control. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
A heap-based buffer overflow was found in GIMP’s raw data export plug-in. When exporting very large images, g_malloc() sizing based on overflowing width * height * bytes-per-pixel can allocate far less memory than GEGL reads or writes during export, following integer overflow
It is possible to read the advisory at access.redhat.com. This vulnerability is known as CVE-2026-106066 since 10/06/2026. The exploitation appears to be easy. The attack can be launched remotely. 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. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 10/07/2026).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
License
Website
- Vendor: https://www.redhat.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.9VulDB Meta Temp Score: 7.9
VulDB Base Score: 9.6
VulDB Temp Score: 9.6
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.3
CNA Vector (redhat): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Integer overflowCWE: CWE-190 / CWE-189
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: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
10/06/2026 CVE reserved10/07/2026 Advisory disclosed
10/07/2026 VulDB entry created
10/07/2026 VulDB entry last update
Sources
Vendor: redhat.comAdvisory: access.redhat.com
Status: Not defined
CVE: CVE-2026-106066 (🔒)
GCVE (CVE): GCVE-0-2026-106066
GCVE (VulDB): GCVE-100-415123
Entry
Created: 10/07/2026 19:57Changes: 10/07/2026 19:57 (62)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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