THE VIDEO SHELF · operational security
DEF CON 22 - Zoz - Don't Fuck It Up!
Zoz's DEF CON 22 talk on operational security in the age of pervasive surveillance. He shows how hard it is to avoid mistakes even for people who should know better.
Why HN readers recommended it
It is the usual cite for why good OPSEC is so hard, including entry and exit point correlation and digital exhaust.
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
- operational security
- Format
- talk
- Level
- intermediate
- HN recommenders in dataset
- 3
- HN mentions in dataset
- 13
- Recommendation years in dataset
- 2016–2021
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.
According to Zoz in his excellent DEFCON 22 talk "Don't Fuck It Up!"[1] on the difficulties of OPSEC, this type of correlation has been in use for years. >[2] Matching entry / exit point – we know specifically they look for that, so don’t match …
pdkl95 on Hacker News · 2019-02
In “Reverse location” search warrants identify all cellphones near a crime sceneI'm always reminded of Zoz's awesome talk "Don't Fuck It Up!"[0]. There's a ton of sketchy shit you can unfortunately (or fortunately depending on who you are) do online but not getting caught is still a non-trivial task. Successfully hiding is dependent upon the people …
bluejellybean on Hacker News · 2019-08
In The Gig Economy (2018)> leaves their cellphones at home while committing crimes, using burner phones for any contact they need during that time That's getting a lot harder to do in practice. OPSEC is hard when you have to care about stuff like overlapping usage of the burner …
pdkl95 on Hacker News · 2016-06
In Cops can easily get months of location data, appeals court rules
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.
