Document Title:  
Qik Chat v3.0 iOS - (Name) Command Inject Vulnerability  
References (Source):  
Release Date:  
Vulnerability Laboratory ID (VL-ID):  
Common Vulnerability Scoring System:  
Vulnerability Class:  
Command Injection  
Current Estimated Price:  
1.000€ - 2.000€  
Abstract Advisory Information:  
The vulnerability laboratory core research team discovered a command  
injection vulnerability in the Qik Chat v3.0 in the mobile ios application.  
Vulnerability Disclosure Timeline:  
2020-05-05: Public Disclosure (Vulnerability Laboratory)  
Discovery Status:  
Exploitation Technique:  
Severity Level:  
Authentication Type:  
No authentication (guest)  
User Interaction:  
No User Interaction  
Disclosure Type:  
Independent Security Research  
Technical Details & Description:  
A command injection web vulnerability has been discovered in the  
official POS PHP v17.5 web-application.  
The vulnerability allows to inject own device specific commands or  
variables to compromise the local system.  
The vulnerability is located in the devicename values. Any time a chat  
is being opened the device name is above the  
chat communication of each message. Thus allows a participant of the  
multi wifi / bluetooth chat to inject own device  
specific commands via devicename variable to stable compromise the chat.  
Afects can be the execute of script code,  
device specific commands or local crashs because of loops. Also thus way  
an attacker can redirect the victim to  
uncover the location or identity.  
Successful exploitation of the vulnerability results in session  
hijacking, persistent phishing attacks, persistent  
external redirects to malicious source and persistent manipulation of  
affected application modules.  
Vulnerable Module(s):  
[+] Qik Chat  
Vulnerable Input(s):  
[+] Devicename (iOS Settings)  
Affected Module(s):  
[+] Wifi / Bluetooth Chat Room  
Note: The chat is marked as anonymous chat but the device name and  
device values are transmitted in the chat  
communication which allows to unmask adresses.  
Credits & Authors:  
Vulnerability-Lab -  
Benjamin Kunz Mejri -  
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