Google Android 10.0 eas_rtttl.c RTTTL_Event resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Google Android 10.0. This affects the function RTTTL_Event of the file eas_rtttl.c. The manipulation leads to resource consumption.
This vulnerability is uniquely identified as CVE-2020-0169. The attack is possible to be carried out remotely. No exploit exists.
To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability was found in Google Android 10.0 (Smartphone Operating System) and classified as problematic. This issue affects the function RTTTL_Event of the file eas_rtttl.c. The manipulation with an unknown input leads to a resource consumption vulnerability. Using CWE to declare the problem leads to CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. Impacted is availability. The summary by CVE is:
In RTTTL_Event of eas_rtttl.c, there is possible resource exhaustion due to a missing bounds check. This could lead to remote denial of service with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-10Android ID: A-123700383
The weakness was disclosed 06/11/2020. The identification of this vulnerability is CVE-2020-0169 since 10/17/2019. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
Applying a patch is able to eliminate this problem.
The entries VDB-156591, VDB-156590, VDB-156589 and VDB-156588 are pretty similar. Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.4VulDB Meta Temp Score: 5.3
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.5
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Timeline
10/17/2019 🔍06/11/2020 🔍
06/12/2020 🔍
06/12/2020 🔍
Sources
Vendor: google.comStatus: Not defined
CVE: CVE-2020-0169 (🔍)
GCVE (CVE): GCVE-0-2020-0169
GCVE (VulDB): GCVE-100-156587
scip Labs: https://www.scip.ch/en/?labs.20150917
See also: 🔍
Entry
Created: 06/12/2020 08:45Updated: 06/12/2020 08:50
Changes: 06/12/2020 08:45 (39), 06/12/2020 08:50 (18)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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