| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.9 | $0-$5k | 0.00 |
Summary
A vulnerability identified as critical has been detected in GStreamer. Affected by this vulnerability is an unknown functionality of the component RealMedia File Parser. Performing a manipulation results in integer overflow. This vulnerability is reported as CVE-2023-38103. The attack is possible to be carried out remotely. No exploit exists. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability, which was classified as critical, was found in GStreamer (Multimedia Processing Software) (affected version not known). This affects some unknown functionality of the component RealMedia File Parser. The manipulation with an unknown input leads to a integer overflow vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
GStreamer RealMedia File Parsing Integer Overflow Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GStreamer. Interaction with this library is required to exploit this vulnerability but attack vectors may vary depending on the implementation. The specific flaw exists within the parsing of MDPR chunks. The issue results from the lack of proper validation of user-supplied data, which can result in an integer overflow before allocating a buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-21443.
The weakness was disclosed 07/27/2023 as ZDI-23-1007. It is possible to read the advisory at zerodayinitiative.com. This vulnerability is uniquely identified as CVE-2023-38103 since 07/12/2023. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
Applying a patch is able to eliminate this problem. The bugfix is ready for download at gitlab.freedesktop.org.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.0VulDB Meta Temp Score: 7.9
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CNA Base Score: 8.8
CNA Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Integer overflowCWE: CWE-190 / CWE-189
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
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: PatchStatus: 🔍
0-Day Time: 🔍
Patch: gitlab.freedesktop.org
Timeline
07/12/2023 🔍07/27/2023 🔍
07/27/2023 🔍
04/24/2025 🔍
Sources
Advisory: ZDI-23-1007Status: Confirmed
CVE: CVE-2023-38103 (🔍)
GCVE (CVE): GCVE-0-2023-38103
GCVE (VulDB): GCVE-100-235587
Entry
Created: 07/27/2023 19:48Updated: 04/24/2025 22:37
Changes: 07/27/2023 19:48 (38), 12/17/2024 18:05 (40), 04/24/2025 22:37 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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