Qualcomm Snapdragon Auto up to WSA8835 Haptics Effects Pattern stack-based overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.5 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Qualcomm Snapdragon Auto, Snapdragon Connectivity, Snapdragon Industrial IOT, Snapdragon Mobile and Snapdragon Wearables and classified as critical. Impacted is an unknown function of the component Haptics Effects Pattern Handler. Performing a manipulation results in stack-based overflow. This vulnerability is identified as CVE-2024-23374. The attack is only possible with local access. There is not any exploit available. The affected component should be upgraded.
Details
A vulnerability, which was classified as critical, was found in Qualcomm Snapdragon Auto, Snapdragon Connectivity, Snapdragon Industrial IOT, Snapdragon Mobile and Snapdragon Wearables. This affects an unknown part of the component Haptics Effects Pattern Handler. The manipulation with an unknown input leads to a stack-based overflow vulnerability. CWE is classifying the issue as CWE-121. A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function). This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:
Memory corruption is possible when an attempt is made from userspace or console to write some haptics effects pattern to the haptics debugfs file.
It is possible to read the advisory at docs.qualcomm.com. This vulnerability is uniquely identified as CVE-2024-23374 since 01/16/2024. The exploitability is told to be easy. Attacking locally is a requirement. The exploitation needs additional levels of successful authentication. 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 10/17/2024).
Upgrading eliminates this vulnerability.
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Product
Type
Vendor
Name
- Snapdragon Auto
- Snapdragon Connectivity
- Snapdragon Industrial IOT
- Snapdragon Mobile
- Snapdragon Wearables
Version
- 8 Gen 1 Mobile Platform
- Auto 5G Modem-RF Gen 2
- FastConnect 6900
- FastConnect 7800
- QCA6174A
- QCA6574AU
- QCA6584AU
- QCA6696
- QCA6698AQ
- QCA9367
- QCA9377
- SA6145P
- SA6150P
- SA6155P
- SA8145P
- SA8150P
- SA8155P
- SA8195P
- SW5100
- SW5100P
- W5+ Gen 1 Wearable Platform
- WCD9380
- WCN3980
- WCN3988
- WSA8830
- WSA8835
License
Website
- Vendor: https://www.qualcomm.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.7VulDB Meta Temp Score: 6.6
VulDB Base Score: 6.7
VulDB Temp Score: 6.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 6.7
CNA Vector (qualcomm): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Stack-based overflowCWE: CWE-121 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: No
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
01/16/2024 🔍10/07/2024 🔍
10/07/2024 🔍
10/17/2024 🔍
Sources
Vendor: qualcomm.comAdvisory: docs.qualcomm.com
Status: Confirmed
CVE: CVE-2024-23374 (🔍)
GCVE (CVE): GCVE-0-2024-23374
GCVE (VulDB): GCVE-100-279471
Entry
Created: 10/07/2024 15:30Updated: 10/17/2024 06:42
Changes: 10/07/2024 15:30 (64), 10/17/2024 06:42 (1)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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