THE VIDEO SHELF · reshipping fraud
Nina Kollars - Confessions of an Nespresso Money Mule - DEF CON 27 Conference
At DEF CON 27, Nina Kollars tells how buying Nespresso capsules on eBay led her to investigate fraudsters reselling goods bought with stolen credit cards. She describes her non-technical tracking and reporting efforts.
Why HN readers recommended it
HN points to it as an entertaining and informative explanation of the economics of reshipping and stolen-card resale scams.
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
- reshipping fraud
- Format
- talk
- Level
- general
- HN recommenders in dataset
- 4
- HN mentions in dataset
- 7
- Recommendation years in dataset
- 2020–2025
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.
Here's a tangentially related def con about the strange economics of that whole scam. Basically, everyone in the chain apart from the cardholder benefits. [VIDEO]
rozab on Hacker News · 2020-05
In G2A pays Factorio developer $40k over illegally obtained game keysNina Kollars had a nice related talk during Defcon on a similar scam buying what she thought was gray market Nespresso pods whose "seller" bought for her using a stolen credit card. They also gave her a free Nespresso machine, presumably to give her motive …
Mountain_Skies on Hacker News · 2020-09
In The 'brushing' scam that's behind mystery parcelsIn addition to the other commenters, here's an excellent defcon talk on what these some groups do: Nina Kollars - Confessions of an Nespresso Money Mule - DEF CON 27 Conference [VIDEO] Essentially, they wait for a buyer of a product to come along to …
clutchdude on Hacker News · 2023-11
In Who's Behind the Swat USA Reshipping Service?
Summaries, classifications and recommendation records are from the HackerTube source dataset. Read about this library and its limitations.