CC13: LLMs: Your Wireless Hacking Friend

Описание: See how large‑language models can speed up wireless penetration tests—from decoding pcaps to crafting payload templates—using nothing but well‑written prompts.

LLMs aren’t limited to essays. In this talk Alissa Gilbert (“dnsprincess”) shows red‑teamers and hobby wardrivers how ChatGPT, Claude and other models cut analysis time during Wi‑Fi and BLE assessments. Learn prompt patterns that:
translate tcpdump / Wireshark logs into plain English,
identify four‑way handshakes and hidden SSIDs inside pcaps,
draft reverse‑shell scripts, router‑exploit PoCs and Metasploit commands, and
suggest targeted wordlists for WPA‑PSK cracking.

You’ll also hear what AI can’t do—touch hardware, keep you legal, or replace fundamentals—and how to keep models on track with ethical, specific, context‑rich prompts.

00:00 Track‑host intro & session start
00:24 Speaker intro – Alissa “dnsprincess” Gilbert
01:02 Agenda & focus on example prompts
01:20 Wireless pentest basics (recon → attack)
01:49 What LLMs can do – log & pcap analysis, recon help
02:55 Limits of LLMs & prompt‑engineering must‑dos
03:15 Using ChatGPT safely – lab context, specificity, docs
03:53 Prompt demo 1 – crafting a Wi‑Fi reverse shell
04:24 Prompt demo 2 – pulling CVE data for a router model
04:46 Prompt demo 3 – encrypting payloads with AI assistance
05:02 Prompt demo 4 – extracting WPA/WPA2 handshakes
05:20 Prompt demo 5 – analyzing pcaps for hidden SSIDs
05:47 Workflow – feed AI output into aircrack‑ng & tools
06:07 Dictionaries, wordlists & CPY integration
08:53 Dragonblood (WPA3) prompt example
09:23 Tips for efficient, narrowly‑scoped prompts
12:49 Handling large pcaps & splitting data
13:32 Self‑hosted LLMs – current limits
14:55 Wrap‑up, links & audience Q&A

#WirelessHacking
#llm
#CactusCon
#WiFiPentest
#promptengineering