Qualcomm Snapdragon Auto up to SM8150 CSEQ Header null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Qualcomm Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile and Snapdragon Wearables. This issue affects some unknown processing of the component CSEQ Header Handler. Performing a manipulation results in null pointer dereference. This vulnerability is identified as CVE-2019-10549. The attack can be initiated remotely. There is not any exploit available. It is recommended 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). It has been classified as problematic. This affects some unknown processing of the component CSEQ Header Handler. The manipulation with an unknown input leads to a null pointer dereference vulnerability. CWE is classifying the issue as CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. This is going to have an impact on availability. The summary by CVE is:
Null pointer dereference issue can happen due to improper validation of CSEQ header response received from network in Snapdragon Auto, Snapdragon Compute, Snapdragon Consumer IOT, Snapdragon Industrial IOT, Snapdragon Mobile, Snapdragon Wearables in MSM8905, MSM8909, MSM8917, MSM8920, MSM8937, MSM8940, MSM8953, Nicobar, QCM2150, QM215, Rennell, SC8180X, SDM429, SDM429W, SDM439, SDM450, SDM632, SDX24, SDX55, SM6150, SM7150, SM8150
The weakness was released 03/05/2020 as confirmed security bulletin (Website). It is possible to read the advisory at qualcomm.com. This vulnerability is uniquely identified as CVE-2019-10549 since 03/29/2019. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. The technical details are unknown and an exploit is not publicly available.
Upgrading eliminates this vulnerability.
Entries connected to this vulnerability are available at VDB-150888, VDB-150889, VDB-150890 and VDB-150892. 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
Version
- MSM8905
- MSM8909
- MSM8917
- MSM8920
- MSM8937
- MSM8940
- MSM8953
- Nicobar
- QCM2150
- QM215
- Rennell
- SC8180X
- SDM429
- SDM429W
- SDM439
- SDM450
- SDM632
- SDX24
- SDX55
- SM6150
- SM7150
- SM8150
License
Website
- Vendor: https://www.qualcomm.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.5
NVD Vector: 🔍
CVSSv2
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Null pointer dereferenceCWE: CWE-476 / CWE-404
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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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Timeline
03/29/2019 🔍03/05/2020 🔍
03/06/2020 🔍
03/06/2020 🔍
Sources
Vendor: qualcomm.comAdvisory: qualcomm.com
Status: Confirmed
CVE: CVE-2019-10549 (🔍)
GCVE (CVE): GCVE-0-2019-10549
GCVE (VulDB): GCVE-100-150891
See also: 🔍
Entry
Created: 03/06/2020 07:49Updated: 03/06/2020 07:54
Changes: 03/06/2020 07:49 (40), 03/06/2020 07:54 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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