Renesas SmartBond DA14699 Flash Config Section buffer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.5 | $0-$5k | 0.00 |
Summary
A vulnerability marked as critical has been reported in Renesas SmartBond DA14691, SmartBond DA14695, SmartBond DA14697 and SmartBond DA14699. Affected by this issue is some unknown functionality of the component Flash Config Section. Performing a manipulation results in buffer overflow. This vulnerability is reported as CVE-2024-25076. No exploit exists.
Details
A vulnerability classified as critical has been found in Renesas SmartBond DA14691, SmartBond DA14695, SmartBond DA14697 and SmartBond DA14699 (the affected version is unknown). This affects an unknown code of the component Flash Config Section. The manipulation with an unknown input leads to a buffer overflow vulnerability. CWE is classifying the issue as CWE-120. The product copies an input buffer to an output buffer without verifying that the size of the input buffer is less than the size of the output buffer, leading to a buffer overflow. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
An issue was discovered on Renesas SmartBond DA14691, DA14695, DA14697, and DA14699 devices. The bootrom function responsible for validating the Flash Product Header directly uses a user-controllable size value (Length of Flash Config Section) to control a read from the QSPI device into a fixed sized buffer, resulting in a buffer overflow and execution of arbitrary code.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2024-25076 since 02/04/2024. The exploitability is told to be easy. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 07/11/2024).
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
Vendor
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.5VulDB Meta Temp Score: 5.5
VulDB Base Score: 5.5
VulDB Temp Score: 5.5
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Buffer overflowCWE: CWE-120 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Partially
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
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
02/04/2024 🔍07/10/2024 🔍
07/10/2024 🔍
07/11/2024 🔍
Sources
Advisory: ATREDIS-2024-0001Status: Confirmed
CVE: CVE-2024-25076 (🔍)
GCVE (CVE): GCVE-0-2024-25076
GCVE (VulDB): GCVE-100-271107
Entry
Created: 07/10/2024 23:30Updated: 07/11/2024 12:32
Changes: 07/10/2024 23:30 (53), 07/11/2024 12:32 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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