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DESCRIPTION:   'Title: Crawlee - Improving crawling with an LLM\n   Tags: R
 ed Team Village | Misc\n   When: Saturday\, Aug 8\, 14:00 - 15:59 PDT\n   
 Where: LVCCW Level 1 Hall 1 309 (Red Team Village) Tactic Table 1 -\n   [1
 ]Map\n\n   Description:\n\n   Traditional web crawlers are great at findin
 g links but terrible at\n   understanding websites. The interesting challe
 nge is not replacing\n   crawlers with AI. It's using the minimum amount o
 f AI required to\n   dramatically improve coverage.\n\n   Every automated 
 tool I've tried hit a brick wall the moment it\n   encounters MFA\, multi-
 step workflows\, onboarding wizards\, or\n   application states where a wr
 ong click deletes data. As a result\,\n   large portions of authenticated 
 attack surface require manually using\n   the application.\n\n   I built a
  crawler that combines deterministic tooling such as Katana\n   with a min
 imal AI agent. The AI is only used where traditional\n   crawlers consiste
 ntly fail: authentication\, workflow navigation\, and\n   generation of sa
 fety controls. Once authenticated session state is\n   established\, the s
 ystem hands control back to fast deterministic\n   tooling.\n\n   I'll cov
 er the basics of how it's built and we'll try it together on a\n   variety
  of applications.\n\n   SpeakerBio:  Daniel Goldberg\n\n   Daniel is a sec
 urity researcher who spent the last 20 years crawling\n   his way up the s
 tack from hacking operating systems to attacking\n   client-side applicati
 ons to attacking browsers\, network protocols\, and\n   today web applicat
 ions. After dabbling with everything in security\,\n   he's realized what 
 he really enjoys is how to take something that\n   works and make it reall
 y good\n\n   '\n\n   1. #LVCCW_Level1_Hall1\n\n\n
DTEND:20260808T225900Z
DTSTART:20260808T210000Z
LOCATION:Red Team Village - LVCCW Level 1 Hall 1 309 (Red Team Village) Tac
 tic Table 1
SUMMARY:Crawlee - Improving crawling with an LLM
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