Category:OWASP AppSensor Project

{{ProjectTabs | Proj_About= {{:Project Information:template AppSensor Project}}

Project Lead
Michael Coates (michael.coates [at] aspectsecurity [dot] com)



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AppSensor Overview
If you walk into a bank and try opening random doors, you will be identified, led out of the building and possibly arrested. However, if you log into an online banking application and start looking for vulnerabilities no one will say anything. This needs to change!

As critical applications continue to become more accessible and inter-connected, it is paramount that critical information is sufficiently protected. We must also realize that our defenses may not be perfect. Given enough time, attackers can identify security flaws in the design or implementation of an application.

In addition to implementing layers of defense within an application, we must identify malicious individuals before they are able to identify any gaps in our defenses. The best place to identify malicious activity against the application is within the application itself. Network based intrusion detection systems are not appropriate to handle the custom and intricate workings of an enterprise application and are ill-suited to detect attacks focusing on application logic such as authentication, access control, etc. This project will create the framework which can be used to build a robust system of attack detection, analysis, and response within an enterprise application

Is this hard?
No, simple checks are used to detect malicious activity. A security exception is then thrown and the AppSensor/ESAPI framework takes care of the rest.

Get AppSensor
Download the AppSensor book for free at lulu.com

Order a printed version for under $10 lulu.com



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Proj_Mail= Thursday, November 12, 2009 [OWASP DC, November 2009]

The AppSensor project will soon be releasing a working demo. This web application will include a working example of the AppSensor detection points integrated with ESAPI. Stay tuned for more.

Project Roadmap
Next Presentation: [OWASP DC, November 2009]

Current: v1.2 in the works, demo application in development

May, 2009 - AppSec EU Poland - Presentation (PPT) (Video)

January, 2009 - v1.1 Released - Beta Status

November, 2008 - AppSensor Talk at OWASP Portugal

November, 2008 - v1.0 Released - Beta Status

April 16, 2008 - Project Begins

Detection Points
Below are the primary detection points defined within AppSensor. These are just the titles; the document contains descriptions, examples and considerations for implementing these detection points.

Signature Based Events

ID Event RE1 Unexpected HTTP Commands RE2 Attempts To Invoke Unsupported HTTP Methods RE3 GET When Expecting POST RE4 POST When Expecting GET AE1 Use Of Multiple Usernames AE2 Multiple Failed Passwords AE3 High Rate Of Login Attempts AE4 Unexpected Quantity Of Characters In Username AE5 Unexpected Quantity Of Characters In Password AE6 Unexpected Types Of Characters In Username AE7 Unexpected Types Of Characters In Password AE8 Providing Only The Username AE9 Providing Only The Password AE10 Adding Additional POST Variables AE11 Removing POST Variables SE1 Modifying Existing Cookies SE2 Adding New Cookies SE3 Deleting Existing Cookies SE4 Substituting Another User's Valid Session ID Or Cookie SE5 Source IP Address Changes During Session SE6 Change Of User Agent Mid Session ACE1 Modifying URL Arguments Within A GET For Direct Object Access Attempts ACE2 Modifying Parameters Within A POST For Direct Object Access Attempts ACE3 Force Browsing Attempts ACE4 Evading Presentation Access Control Through Custom Posts IE1 Cross Site Scripting Attempt IE2 Violations Of Implemented White Lists EE1 Double Encoded Characters EE2 Unexpected Encoding Used CIE1 Blacklist Inspection For Common SQL Injection Values CIE2 Detect Abnormal Quantity Of Returned Records. CIE3 Null Byte Character In File Request CIE4 Carriage Return Or Line Feed Character In File Request FIO1 Detect Large Individual Files FIO2 Detect Large Number Of File Uploads

Behavior Based Events

UT1 Irregular Use Of Application UT2 Speed Of Application Use UT3 Frequency Of Site Use UT4 Frequency Of Feature Use STE1 High Number Of Logouts Across The Site STE2 High Number Of Logins Across The Site STE3 High Number Of Same Transaction Across The Site

Legend:

RE - Request AE - Authentication SE - Session ACE - Acess Control IE - Input EE - Encoding CIE - Command Injection FIO - File IO UT - User Trend STE - System Strend

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