HackerTube.dev

Kim Nilsson - Cracking MtGox

TheBitcoinArmy · 47.3K views · 2017-09-10 · 38:22

Open on YouTube ↗

If playback is restricted in your region, try opening the original video. Use Mark watched to add it to your marked videos.

Overview

Kim Nilsson presents his investigation into how Mt. Gox was hacked and mismanaged, tracing the finances and the missing bitcoins. It was given at the 2017 Breaking Bitcoin meetup.

On Hacker News

HN commenters call it one of the best, most unbiased explanations of what actually happened to Mt. Gox and its missing coins.

Recommended by 5 HN people across 4 months · HN mentions 2017–2021

Topics

Search by tags

What people said

pakitan · 2019-03 · Strong recommendation

Kim Nilsson's work is as good and unbiased as it comes and it pretty much explains everything you need to know about the missing coins: [VIDEO] [LINK] Btw, with your 350 coins, I hope you've already submitted a claim and are planning to vote on the upcoming Civil Rehabilitation plan.

Read the original HN comment ↗
stuxnet79 · 2018-01 · Strong recommendation

Kim Nilsson's group have been investigating the Mt Gox incident for years and he gave a presentation some time ago that summarized some of their findings ( [VIDEO] ). One of the best summaries of the Mt Gox incident, as well as the fallout and subsequent investigations that I've watched.

Read the original HN comment ↗
otoburb · 2017-11 · Strong recommendation

If anybody wants the full sordid history from an investigative standpoint, check out Kim Nilsson's great writeups[1][2] and presentation[3]. [1] [LINK] [2] [LINK] [3] [VIDEO]

Read the original HN comment ↗

Sources

Video by TheBitcoinArmy, played through YouTube.

Data and selection notes

HN summaries and labels may contain AI errors. HN dates refer to discussions, not video publication.

HN Library: HackerTube export (2026-10-31) and open-index/hacker-news. Upstream summaries and classifications may contain AI errors.

Views, duration and playback status refresh separately from the published catalog. When an update fails, existing data remains visible.

Selection checks
  • SaaS & AI candidates: Topic keywords do not match
  • Editor-approved picks: Editorial review is required

Rule matches identify candidates. They do not guarantee video quality or financial results.

About the library and its sources