lightbuld-framework v0.0.19 releases: Tools for auditing WAFS
Web Applications Firewalls (WAFs) are fundamental building blocks of modern application security. For example, the PCI standard for organizations handling credit card transactions dictates that any application facing the internet should be either protected by a WAF or successfully pass a code review process. Nevertheless, despite their popularity and importance, auditing web application firewalls remains a challenging and complex task. Finding attacks that bypass the firewall usually requires expert domain knowledge for a specific vulnerability class. Thus, penetration testers not armed with this knowledge are left with publicly available lists of attack strings, like the XSS Cheat Sheet, which are usually insufficient for thoroughly evaluating the security of a WAF product.
LightBulb is an open source Python framework for auditing web application firewalls and filters.
The framework consists of two main algorithms:
- GOFA: An active learning algorithm that infers symbolic representations of automata in the standard membership/equivalence query model. Active learning algorithms permit the analysis of filter and sanitizer programs remotely, i.e. given only the ability to query the targeted program and observe the output.
- SFADiff: A black-box differential testing algorithm based on Symbolic Finite Automata (SFA) learningFinding differences between programs with similar functionality is an important security problem as such differences can be used for fingerprinting or creating evasion attacks against security software like Web Application Firewalls (WAFs) which are designed to detect malicious inputs to web applications.
- The dynamic import module was updated to support Jython.
- A check was added in Burp extension to validate that the flex binary exists before enabling the attacks.
- Support for Jython 2.7.X.
- MySQL Differential Learning still requires Jython 2.5.X since the MySQL connector jar cannot be dynamically imported in the classpath.
Copyright (c) 2018 George Argyros, Ioannis Stais