Red Hat Enterprise Linux PVR VQ Decoder heap-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $5k-$25k | 3.14- |
Summary
A vulnerability classified as problematic has been found in Red Hat Enterprise Linux. Impacted is an unknown function of the component PVR VQ Decoder. The manipulation leads to heap-based overflow. This vulnerability is documented as CVE-2026-82330. The attack needs to be performed locally. There is not any exploit available.
Details
A vulnerability, which was classified as problematic, has been found in Red Hat Enterprise Linux (version now known). This issue affects some unknown processing of the component PVR VQ Decoder. The manipulation with an unknown input leads to a heap-based overflow vulnerability. Using CWE to declare the problem leads to CWE-122. A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc(). Impacted is confidentiality, integrity, and availability. The summary by CVE is:
A flaw was found in the file-pvr plugin in GIMP. When processing a specially crafted PVR image file, the VQ (compressed) decoder does not properly perform memory bounds checking. This missing validation results in a heap out-of-bounds read. This issue can result in an application crash, leading to a denial of service or a limited information disclosure of heap memory contents.
It is possible to read the advisory at access.redhat.com. The identification of this vulnerability is CVE-2026-82330 since 08/28/2026. The exploitation is known to be easy. Attacking locally is a requirement. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 08/28/2026).
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: 5.4VulDB Meta Temp Score: 5.4
VulDB Base Score: 4.8
VulDB Temp Score: 4.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 6.1
CNA Vector (redhat): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Heap-based overflowCWE: CWE-122 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
08/28/2026 Advisory disclosed08/28/2026 CVE reserved
08/28/2026 VulDB entry created
08/28/2026 VulDB entry last update
Sources
Vendor: redhat.comAdvisory: access.redhat.com
Status: Not defined
CVE: CVE-2026-82330 (🔒)
GCVE (CVE): GCVE-0-2026-82330
GCVE (VulDB): GCVE-100-396731
Entry
Created: 08/28/2026 17:18Changes: 08/28/2026 17:18 (61)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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