Inside the archive.today Incident — Simulation, Evidence & What Site Owners Should Do
Inside the archive.today Incident — Simulation & Technical Walkthrough
A step-by-step visualization of the reported JavaScript pattern, why it can create DDoS-level load on small sites, and what was discussed in public sources. Claims are presented as reported/alleged and attributed below.
// Observed pattern (for explanation only — do NOT run):
// setInterval(function() {
// fetch("https://gyrovague.com/?s=" + Math.random().toString(36).substring(2), { referrerPolicy:"no-referrer", mode:"no-cors" });
// }, 300);
Step-by-Step: How the Reported Code Produces DDoS-Style Load
- Timer starts: The code uses
setInterval(), which runs a callback repeatedly on the client while the page is open. - Each tick builds a unique request: The snippet appends a randomized query (e.g.
?s=abc123) so responses aren't cached by browsers or CDNs. - Requests continue while the tab remains open: A single visitor who leaves the tab open effectively becomes a sustained request source.
- Many visitors = many concurrent request streams: If many people open the archive CAPTCHA page, the number of generated requests multiplies.
- Small servers suffer: Personal blogs and low-tier hosting can be overwhelmed by sustained CPU/database/bandwidth demands — functionally causing outages similar to DDoS attacks.
Reminder: The code pattern above and the impacts described are what community researchers and the original investigation observed and reported. This article attributes those claims to the sources listed below; it does not assert intent or criminal guilt.
Context: Why People Are Alarmed
archive.today (a widely used web-archiving site) is prominent and used by researchers, journalists, and the public. The fact that the reported code runs on its CAPTCHA page — and that the requests target external blogs — raised alarm in multiple communities (Hacker News, Reddit, Lobsters).
Publicly shared correspondence (linked below) contains allegations about the operator's conduct. These allegations include threatening or coercive messages published in a chat log; they are presented here as reports made public via that correspondence and community threads.
Video Walkthroughs & Demonstrations
Primary Sources & Public Threads (read them yourself)
These sources contain the code sample, screenshots, community analysis, and the published correspondence. Please read them directly for full context.
Recommended Mitigations for Site Owners
- Rate-limit search endpoints and expensive queries (return 429/503 when under heavy load).
- Cache common responses and treat very short random queries as low-cost cached hits.
- Use CDN or WAF to detect and block repetitive client-side request patterns.
- Monitor logs for repeated similar requests and save sample headers for abuse reporting.
- Consider temporary blocking of the archive domain in server-side rules while investigating.
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