Google Android on Qualcomm TQS App memscpy Return Value memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 8.2 | $5k-$25k | 0.00 |
Summary
A vulnerability identified as critical has been detected in Google Android on Qualcomm. The affected element is the function memscpy of the component TQS App. This manipulation as part of Return Value causes memory corruption.
The identification of this vulnerability is CVE-2015-9173. It is possible to initiate the attack remotely. There is no exploit available.
To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability has been found in Google Android on Qualcomm (Smartphone Operating System) (affected version not known) and classified as critical. Affected by this vulnerability is the function memscpy of the component TQS App. The manipulation as part of a Return Value leads to a memory corruption vulnerability. The CWE definition for the vulnerability is CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:
In Android before 2018-04-05 or earlier security patch level on Qualcomm Snapdragon Mobile SD 410/12, SD 617, SD 650/52, SD 800, SD 808, and SD 810, missing of return value check in memscpy can cause memory corruption in TQS App.
The bug was discovered 04/04/2018. The weakness was shared 04/18/2018 (Website). It is possible to read the advisory at source.android.com. This vulnerability is known as CVE-2015-9173 since 08/16/2017. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $5k-$25k at the moment (estimation calculated on 01/26/2020). It is expected to see the exploit prices for this product increasing in the near future.
The vulnerability was handled as a non-public zero-day exploit for at least 14 days. During that time the estimated underground price was around $25k-$100k.
Applying a patch is able to eliminate this problem.
The vulnerability is also documented in the vulnerability database at SecurityFocus (BID 103671†). The entries VDB-83180, VDB-105483, VDB-105484 and VDB-105488 are related to this item. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
License
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 8.5VulDB Meta Temp Score: 8.4
VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 9.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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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: Memory corruptionCWE: CWE-119
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Timeline
08/16/2017 🔍04/04/2018 🔍
04/05/2018 🔍
04/18/2018 🔍
04/18/2018 🔍
04/19/2018 🔍
01/26/2020 🔍
Sources
Vendor: google.comAdvisory: source.android.com
Status: Not defined
Confirmation: 🔍
CVE: CVE-2015-9173 (🔍)
GCVE (CVE): GCVE-0-2015-9173
GCVE (VulDB): GCVE-100-116419
SecurityFocus: 103671 - Google Android Multiple Qualcomm Components Multiple Unspecified Security Vulnerabilities
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 04/19/2018 09:16Updated: 01/26/2020 15:18
Changes: 04/19/2018 09:16 (64), 01/26/2020 15:18 (4)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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