HackerTube

THE VIDEO SHELF · darknet opsec

DEF CON 22 - Adrian Crenshaw- Dropping Docs on Darknets: How People Got Caught

Adrian Crenshaw's DEF CON 22 talk gives an overview of Tor and I2P, then goes through real cases where darknet users were caught. These include Silk Road and its operator.

Why HN readers recommended it

HN points to it to show that most Tor busts came from poor operational security by the user rather than a flaw in Tor itself.

This is a summary from the source dataset, not an endorsement by Hacker News or the video creator.

Video & recommendation details

Creator / channel
DEFCONConference
Topic
darknet opsec
Format
talk
Level
intermediate
HN recommenders in dataset
3
HN mentions in dataset
6
Recommendation years in dataset
2015–2024

These counts and years describe the included Hacker News records; they are not YouTube views or the video’s publication date.

From the original HN conversations

Excerpts from the recorded comments. Follow each source for the full comment and surrounding discussion.

  • Not sure why I can't edit my original comment, but whatever. Here is the presentation Adrian Crenshaw gave at DefCon 22 called "Dropping Docs on Darknets: How People Got Caught" Great presentation: [VIDEO]

    at-fates-hands on Hacker News · 2015-01
    In Feds found Silk Road 2 servers after a six-month attack on Tor?
  • In case anyone feels like doing something like that, this talk is worth a listen: [VIDEO] A talk on how Tor users got caught. In a nutshell: it wasn't Tor's fault, but bad OPSEC on the part of the users.

    andai on Hacker News · 2017-07
    In 18yo arrested for reporting a bug in the new Budapest e-Ticket system
  • Most cases are closed on circumstantial evidence. Weird to see the same podcast that hosts freeross information as also hosting bitcoin podcasts. Adrian Crenshaw the security researcher has a good defcon talk on how ross went down for SR. Don't post your tech problems for …

    friendlybus on Hacker News · 2020-01
    In Who Deserves This? (2018)

Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.