Qualcomm Snapdragon Auto AVI File Parser buffer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as critical, has been found in Qualcomm Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile and Snapdragon Wearables. This affects an unknown function of the component AVI File Parser. The manipulation leads to buffer overflow. This vulnerability is listed as CVE-2022-25676. The attack may be initiated remotely. There is no available exploit. It is advisable to upgrade the affected component.
Details
A vulnerability was found in Qualcomm Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile and Snapdragon Wearables (Chip Software) and classified as critical. This issue affects an unknown functionality of the component AVI File Parser. The manipulation with an unknown input leads to a buffer overflow vulnerability. Using CWE to declare the problem leads to 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
Information disclosure in video due to buffer over-read while parsing avi files in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables
The weakness was presented 11/15/2022. It is possible to read the advisory at qualcomm.com. The identification of this vulnerability is CVE-2022-25676 since 02/22/2022. It demands that the victim is doing some kind of user interaction. 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 05/07/2026).
Upgrading eliminates this vulnerability.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2022-30331). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
- Snapdragon Auto
- Snapdragon Compute
- Snapdragon Consumer IOT
- Snapdragon Industrial IOT
- Snapdragon Mobile
- Snapdragon Wearables
License
Website
- Vendor: https://www.qualcomm.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.2VulDB Meta Temp Score: 6.1
VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
NVD Vector: 🔍
CNA Base Score: 6.8
CNA Vector (Qualcomm, Inc.): 🔍
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: Buffer overflowCWE: CWE-120 / CWE-119
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: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
02/22/2022 🔍11/15/2022 🔍
11/15/2022 🔍
05/07/2026 🔍
Sources
Vendor: qualcomm.comAdvisory: qualcomm.com
Status: Confirmed
CVE: CVE-2022-25676 (🔍)
GCVE (CVE): GCVE-0-2022-25676
GCVE (VulDB): GCVE-100-213683
EUVD: 🔍
Entry
Created: 11/15/2022 13:42Updated: 05/07/2026 07:57
Changes: 11/15/2022 13:42 (49), 12/18/2022 14:23 (12), 04/23/2025 02:08 (15), 05/07/2026 07:57 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
No comments yet. Languages: en.
Please log in to comment.