strukturag Libde265 1.0.14 motion.cc derive_spatial_luma_vector_prediction heap-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in strukturag Libde265 1.0.14. It has been rated as critical. Impacted is the function derive_spatial_luma_vector_prediction of the file motion.cc. This manipulation causes heap-based overflow.
The identification of this vulnerability is CVE-2023-49465. There is no exploit available.
Details
A vulnerability was found in strukturag Libde265 1.0.14. It has been declared as critical. Affected by this vulnerability is the function derive_spatial_luma_vector_prediction of the file motion.cc. The manipulation with an unknown input leads to a heap-based overflow vulnerability. The CWE definition for the vulnerability is 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(). As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
Libde265 v1.0.14 was discovered to contain a heap-buffer-overflow vulnerability in the derive_spatial_luma_vector_prediction function at motion.cc.
The weakness was shared 12/08/2023 as 435. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2023-49465 since 11/27/2023. Technical details of the vulnerability are known, but there is no available exploit.
The vulnerability scanner Nessus provides a plugin with the ID 214467 (Debian dla-3699 : libde265-0 - security update), which helps to determine the existence of the flaw in a target environment.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at Tenable (214467). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 7.1VulDB Meta Temp Score: 7.1
VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CVSSv2
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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: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Nessus ID: 214467
Nessus Name: Debian dla-3699 : libde265-0 - security update
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/27/2023 🔍12/07/2023 🔍
12/08/2023 🔍
01/23/2025 🔍
Sources
Product: github.comAdvisory: 435
Status: Confirmed
CVE: CVE-2023-49465 (🔍)
GCVE (CVE): GCVE-0-2023-49465
GCVE (VulDB): GCVE-100-247219
Entry
Created: 12/08/2023 00:59Updated: 01/23/2025 05:04
Changes: 12/08/2023 00:59 (40), 12/31/2023 09:01 (11), 01/23/2025 05:04 (17)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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