GPAC 2.1-DEV-rev505-gb9577e6ad-master box_code_adobe.c afrt_box_read memory leak
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.9 | $0-$5k | 0.00 |
Summary
A vulnerability was found in GPAC 2.1-DEV-rev505-gb9577e6ad-master. It has been classified as problematic. The affected element is the function afrt_box_read of the file box_code_adobe.c. Performing a manipulation results in memory leak.
This vulnerability is cataloged as CVE-2022-46490. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in GPAC 2.1-DEV-rev505-gb9577e6ad-master. It has been classified as problematic. This affects the function afrt_box_read of the file box_code_adobe.c. The manipulation with an unknown input leads to a memory leak vulnerability. CWE is classifying the issue as CWE-401. The product does not sufficiently track and release allocated memory after it has been used, which slowly consumes remaining memory. This is going to have an impact on availability. The summary by CVE is:
GPAC version 2.1-DEV-rev505-gb9577e6ad-master was discovered to contain a memory leak via the afrt_box_read function at box_code_adobe.c.
The weakness was shared 01/05/2023 as 2327. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2022-46490 since 12/05/2022. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Type
Name
Version
License
Website
- Product: https://github.com/gpac/gpac/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.9VulDB Meta Temp Score: 4.9
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
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: Memory leakCWE: CWE-401 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
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
12/05/2022 🔍01/05/2023 🔍
01/05/2023 🔍
01/29/2023 🔍
Sources
Product: github.comAdvisory: 2327
Status: Confirmed
CVE: CVE-2022-46490 (🔍)
GCVE (CVE): GCVE-0-2022-46490
GCVE (VulDB): GCVE-100-217509
Entry
Created: 01/05/2023 20:10Updated: 01/29/2023 07:15
Changes: 01/05/2023 20:10 (39), 01/29/2023 07:15 (11)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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