Qualcomm Snapdragon Mobile/Snapdragon Wear up to Snapdragon_High_Med_2016 WLAN integer overflow
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.7 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in Qualcomm Snapdragon Mobile and Snapdragon Wear. This affects an unknown part of the component WLAN. Performing a manipulation results in integer overflow. This vulnerability is known as CVE-2018-11821. Attacking locally is a requirement. No exploit is available. It is recommended to upgrade the affected component.
Details
A vulnerability, which was classified as critical, was found in Qualcomm Snapdragon Mobile and Snapdragon Wear (Chip Software). This affects some unknown processing of the component WLAN. 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:
Possible integer overflow may happen in WLAN during memory allocation in Snapdragon Mobile, Snapdragon Wear in version IPQ8074, MDM9206, MDM9607, MDM9650, SD 425, SD 427, SD 430, SD 435, SD 450, SD 625, SD 650/52, SD 835, SD 845, SD 850, SDA660, SDM630, SDM632, SDM636, SDM660, SDM710, Snapdragon_High_Med_2016
The bug was discovered 10/01/2018. The weakness was published 10/26/2018 (Website). The advisory is shared at qualcomm.com. This vulnerability is uniquely identified as CVE-2018-11821 since 06/07/2018. The exploitability is told to be easy. An attack has to be approached locally. No form of authentication is needed for exploitation. Neither technical details nor an exploit are publicly available.
The vulnerability was handled as a non-public zero-day exploit for at least 25 days. During that time the estimated underground price was around $5k-$25k.
Upgrading eliminates this vulnerability.
Similar entries are available at VDB-120497, VDB-120506, VDB-120507 and VDB-120508. Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Type
Vendor
Name
Version
- IPQ8074
- MDM9206
- MDM9607
- MDM9650
- SD 425
- SD 427
- SD 430
- SD 435
- SD 450
- SD 625
- SD 650-52
- SD 835
- SD 845
- SD 850
- SDA660
- SDM630
- SDM632
- SDM636
- SDM660
- SDM710
- Snapdragon_High_Med_2016
License
Website
- Vendor: https://www.qualcomm.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.8VulDB Meta Temp Score: 6.7
VulDB Base Score: 5.9
VulDB Temp Score: 5.7
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.8
NVD Vector: 🔍
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Integer overflowCWE: CWE-190 / CWE-189
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
06/07/2018 🔍10/01/2018 🔍
10/26/2018 🔍
10/26/2018 🔍
10/27/2018 🔍
06/03/2023 🔍
Sources
Vendor: qualcomm.comAdvisory: qualcomm.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2018-11821 (🔍)
GCVE (CVE): GCVE-0-2018-11821
GCVE (VulDB): GCVE-100-125985
SecurityFocus: 107681
See also: 🔍
Entry
Created: 10/27/2018 18:18Updated: 06/03/2023 08:57
Changes: 10/27/2018 18:18 (59), 05/03/2020 17:01 (2), 06/03/2023 08:57 (4)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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