STIF. Security Tools Integration Framework or the insights on automated hacking
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1 or the insights on automated hacking
2 Sick urity Industry Dedicated to all victims of the security industry
3 Why hacking automation? boring/repetitive actions could be scripted out (intelligent mass hacking) Automated intrusion detection facilities could be tested using real-life tools Why automation? Deployed in intelligent agent based software Could be used to mitigate human error factor Other, INFOSEC-biz influenced: Pen-testing slavery (can keep your boss happy) Saves more time for fun stuff Your system hack while you sleep (or code)..
4 Why integration? Why integration? Numerous security tools available, but no unified framework for data exchange and representation No facility for machine data analysis, aggregation and correlation Repetitive manual handling for large-scale networks is a nightmare Integration into autonomous network-propagating agents
5 Example A security analyst runs a set of network discovery tools to map the network Example /usage of word hacker is not recommended in this context/ He reviews the produced log files, based on what he finds out and remembers, he picks up further network-discovery tools to use.. Repeat.. PROBLEMS: boring, tiring, non-productive use of time
6 Why not let machine do the boring work
7 Possible solutions Possible solutions Shell scripts? Security Scanners? Exploit toolkits?? or room of pen-testing monkeys..?
8 Or.. Please meet STIF!! Meet STIF Our ultimate automated Monkey for your networking Needs!
9 Our design goals Design goals Simplicity of adding and integrating new tools/ w4r3z (no extra code hacking) Ability to script out different scenarios Ability to guide and direct the execution monkey in the right direction (by providing knowledge facts, that monkey may miss)
10 Implementation Data format unification and integration module Implementation encapsulation of data into set of messages, that we will refer as STIF-Message throughout this presentation. Inference engine Data exchange, aggregation, correlation, rule-based execution scenarios Unification components Unified components execution and data import mechanisms
11 What is a STIF message.. Encoded fact of knowledge regarding target System or network What is it? TARGET (target address= ) PORT (port 80 state=open address ) PLATFORM (platform linux address ) APPLICATION URL/FILE LOCATION (add yours)
12 STIF-Message Serialized STIF message in XML format.. STIF-Message <STIF-Message created=" t15:03:01+6"> <Port number="80" state="open" protocol="tcp"> <Address type="ipv4-addr"> </address> <Protocol> HTTPS <Application> Apache/ (Unix) PHP/4.3.1 </Application> </Protocol> </Port> </STIF-Message>
13 Inference engine Implementation (cont) assists the data exchange process between the tools Implementation provides data aggregation and correlation facilities (including regular expressions based matching to the knowledge base facts) Knowledge base maintenance Maintains execution flow using rule-based scenarios
14 Implementation (cont) Implementation Unification components Provides unified methods for execution of integrated tools and Inference engine knowledge base system data import
15 How it glues together How it glues Knowledge base (set of facts, described In form of STIF Messages) Add STIF Message Rule Matching logic Rule Base Rule: Matching condition Rule: Conseq. Matching condition Execution Conseq. Execution Delete STIF Message Rule Execution GenericExec Unified data import (regex parsing) Integrated tools: (nmap, xprobe, nikto, )
16 demo demonstration
17 Other thoughts Weight-based rule based systems Other thoughts (implementation of Markov chains of probabilistic execution flows) Apache 0.5 unix 0.5 scan 0.1 0,2 windows 0.2 NES
18 Questions and comments Feedback
19 The End Thanks!
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