Mobile Application Pentest [Fast-Track]

Post on 19-May-2015

1.486 views 1 download

Tags:

Transcript of Mobile Application Pentest [Fast-Track]

Just Mobile Phone

Phone calls Sending text message or MMS Alarm clock Calculator Listen music

Edge for Surf internet !!

3G, 4G and WIFI support on Mobile network

Became more intelligent – Smart Phone Sending email Surf internet Check-on for flights Online Banking transactions Social Network (Facebook, Twitter, Instagram, Etc)

Companies started creating mobile applications to offer services to clients Storing and synchronizing data files in the cloud Participating in social network sites As the data that stored, processed and transferred can often be

considered sensitive.

Mobile App Attack Surface

Client Software on Mobile Device Communications Channel Server Side Infrastructure

Server Side Infrastructure

Comm. Channel

Client Software

Mobile Phone

Internet

Application Server

Client Software

Communication Channel

Server Side Infrastructure

Packages are typically downloaded from an AppStore, Google Play or provided via Company website

Testing requires a device that is rooted or jailbroken for access to all files and folders on the local file system

Be able to decompiled, tampered or reverse engineered

Attention points Files on the local file system Application authentication & authorization Error Handling & Session Management Business logic Decompiling and Analyzing

Channel between the client and the server (HTTPs, EDGE, 3G)

Testing with HTTP Proxy (Burp, ZAP) to intercept and manipulate alter traffic

If the application does not use the HTTP protocol, can use transparent TCP and UDP proxy like Mallory

Attention points Sniff sensitive information Replay attack vulnerabilities Secure transfer of sensitive information

The attack vectors for the web servers behind a mobile application is similar to those use for regular websites

Perform host and service scans on the target system to identify running services

Attention points OWASP Top 10 vulnerabilities (SQLi, XSS, …)

Running services and version

Infrastructure vulnerability scanning

Pentest iOS Application

Insecure Storage Why application needs to store data

▪ Ease of use for user ▪ Popularity ▪ Activity with single click ▪ Decrease transaction time ▪ 9 out of 10 applications have this vulnerability

How attacker can gain access

▪ Wifi ▪ Default password after jail breaking (alpine) ▪ Physical Theft ▪ Temporary access to device ▪ Backup File

Insecure Storage Local Data Storage

▪ Plist and XML files ▪ NSuserDefaults

▪ Class provides a programmatic interface for interacting with default system ▪ Keep information in plist file

▪ SQLite data files ▪ Core Data Services

▪ Object Model, Relational Database ▪ SQLite Manage ▪ Table prefixed “z”

▪ Keychain

Enumerate sensitive information from local files

Wordpress iOS App (.plist) stored user & pass

SQL Injection in Local Database Most Mobile platforms uses SQLite as database to store

information on the device Using any SQLite Database Browser, it is possible to access

database logs which has queries and other sensitive database information

In case application is not filtering input, SQL Injection on local database is possible

a” or “a”=“a

Bad Code

NSString *uid = [myHTTPConnection getUID]; NSString *statement = [NSString StringWithFormat : @”SELECT username FROM users where uid = ‘%@’”, uid]; const char *sql = [statement UTF8String];

Good Code

Const char *sql = “SELECT username FROM users where uid = ?”; sqlite3_prepare_v2(db, sql, -1, &selectUid, NULL); Sqlite3_bind_int(selectUid, 1, uid); int status = sqlite3_step(selectUid);

Buffer Overflow

When the input data is longer than the buffer size, if it is accepted, it will overwrite other data in memory. No protection by default in C, Objective-C and C++

Decrypt Application and find hardcoded secrets Applications from the AppStore is encrypted and Signed

Decrypt Application and find hardcoded secrets Clutch

▪ Used for iOS application decryption ▪ Can be run from the command line

Decrypt Application and find hardcoded secrets Runtime Analysis with GDB

▪ Use clutch ▪ View classdump-z output ▪ Set breakpoint ▪ Analyze objc_msgsend ▪ Find passcode ▪ Evade checks

https://vimeo.com/66617415

Poor or no encryption during transit Traffic over HTTP Token passing Device ID over poor channel UDID Privacy concerns (Can be used to track user)

BurpSuite Proxy

Apps communicate with backend web services OWASP Top 10 auditing Most communication using XML MitM and inject bad XML UIWebviews (Used to embed web content in app) Execute JavaScript (XSS)

Fuzz data sent/received

Client Software Found backend path in Localizable.strings

Server-Side Infrastructure Access to port 8080 (Apache Tomcat) Logged in with default tomcat username and password Upload Malicious JSP code into webserver (Bypass Symantec) Access to configuration file that contain database credentials OWNed !! Database server

Localizable.strings

Logged in with Default Tomcat credentials

Upload Malicious JSP code

Backend Compromised

Database Compromised

Pentest Android Application

Local Data Storage flaws

Weak encoding/encryption

Insecure Storage Reverse Engineering

▪ APKtool to decode resources ▪ Convert the .apk file into .zip ▪ Extract the zipped file, Found classes.dex ▪ Dex2jar for convert .dex to .jar ▪ Using JD GUI to open JAR file and review source code

Insecure Storage Reverse Engineering

Insecure Storage Reverse Engineering

BurpSuite Proxy

Insecure Logging

Identity Decloaking

Apps communicate with backend web services OWASP Top 10 auditing Fuzz data sent/received

Client Software Found backend path from Reverse Engineering Found FTP username and password

Communication Channel Found Mail’s credentials

Server-Side Infrastructure Access FTP Server Access Terminal Service Logged in with FTP credential PWNed !! Backend server Compromised internal server

Reverse Engineering

Logged in with FTP credential

100 porn images found !!

Burp Proxy

Access Mail

Backend Compromised

Authors: ZeQ3uL and diF http://www.exploit-db.com/papers/26620/

Local Storage Internet

Sniff Traffic