CVE-2016-10139
BLU R1 HD Shanghai Adups System User Elevation and Exfiltration
Description
An issue was discovered on BLU R1 HD devices with Shanghai Adups software. The two package names involved in the exfiltration are com.adups.fota and com.adups.fota.sysoper. In the com.adups.fota.sysoper app's AndroidManifest.xml file, it sets the android:sharedUserId attribute to a value of android.uid.system which makes it execute as the system user, which is a very privileged user on the device. Therefore, the app executing as the system user has been granted a number of powerful permissions even though they are not present in the com.adups.fota.sysoper app's AndroidManifest.xml file. This app provides the com.adups.fota app access to the user's call log, text messages, and various device identifiers through the com.adups.fota.sysoper.provider.InfoProvider component. The com.adups.fota app uses timestamps when it runs and is eligible to exfiltrate the user's PII every 72 hours. If 72 hours have passed since the value of the timestamp, then the exfiltration will be triggered by the user plugging in the device to charge or when they leave or enter a wireless network. The exfiltration occurs in the background without any user interaction.
INFO
Published Date :
Jan. 13, 2017, 9:59 a.m.
Last Modified :
March 16, 2017, 1:59 a.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
5.9
Exploitability Score :
1.8
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2016-10139.
| URL | Resource |
|---|---|
| http://www.securityfocus.com/bid/96858 | |
| https://www.kryptowire.com/adups_security_analysis.html | Technical Description Third Party Advisory |
| https://www.nytimes.com/2016/11/16/us/politics/china-phones-software-security.html | Press/Media Coverage |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2016-10139 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2016-10139 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Mar. 16, 2017
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/96858 [No Types Assigned] -
Initial Analysis by [email protected]
Jan. 23, 2017
Action Type Old Value New Value Added CVSS V2 (AV:L/AC:L/Au:N/C:C/I:C/A:C) Added CVSS V3 AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://www.kryptowire.com/adups_security_analysis.html No Types Assigned https://www.kryptowire.com/adups_security_analysis.html Third Party Advisory, Technical Description Changed Reference Type https://www.nytimes.com/2016/11/16/us/politics/china-phones-software-security.html No Types Assigned https://www.nytimes.com/2016/11/16/us/politics/china-phones-software-security.html Press/Media Coverage Added CWE CWE-310 Added CPE Configuration OR *cpe:2.3:a:adups:adups_fota:-:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2016-10139 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2016-10139
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.04 }} 0.00%
score
0.10264
percentile