How to mine H1 hacktivity — a reading method

How to mine H1 hacktivity — a reading method

TL;DR: HackerOne’s public hacktivity is the largest searchable corpus of real, paid, reproducible web bugs in existence. The trick is to read for patterns — not specific bugs — and feed those patterns back into your own recon and testing. Method: filter by bounty range, read 50 reports in a sitting, extract the pre-conditions the hunter spotted (not the payload), and add them to your checklist. Companion to testing-methodology-checklists and known-vuln-workflow.

Why disclosed reports are the best free training

A disclosed report has all the things books don’t:

  • A real target, often still findable on the wayback machine.
  • A real timeline (find → triage → bounty → disclosure) showing how long each step took.
  • A real conversation between hunter and triage — including pushback, dupes, and “this is informative” rejections you can learn from.
  • A real bounty number telling you which classes pay.

Public sources to mine:

  • hackerone.com/hacktivity — sort by bounty, filter by severity.
  • bugcrowd.com/crowdstream — same idea, smaller corpus.
  • huntr.dev — open-source bug bounty (PyPI, npm packages).
  • Individual programs’ “public disclosure” pages (GitLab, Shopify, Internet Bug Bounty).

The 50-report sitting

Pick a Saturday morning. Open hacktivity. Filter:

  • Severity: High or Critical.
  • Asset type: web app (start narrow).
  • Sort: most recent disclosed.

Read fifty in a row. Do not stop to test. Take one note per report:

1
2
3
4

Program: <name>
Class: <SSRF | IDOR | SQLi | auth bypass | …>
Pre-condition the hunter spotted: <what about the target tipped them off>
Bounty: <amount>

After fifty, you’ll see the same five pre-conditions over and over:

  • “Endpoint took a URL parameter.”
  • “Two-step flow with second step missing the access check.”
  • “JWT signed with a static key visible in JS bundle.”
  • “OAuth redirect_uri substring-matched.”
  • “Subdomain CNAME’d to a freed cloud service.”

That list is your new checklist. It’s worth more than reading another methodology book.

Read for pre-conditions, not payloads

The payload is in the report. You don’t need to memorise it. What you need to memorise is the thing the hunter noticed before they tried the payload. That’s the signal you’ll use on your own target.

Bad takeaway: “On target.com/api/redirect?url=... I sent url=https://evil.com and got an open redirect.”

Good takeaway: “When a parameter name contains url, redirect, next, return, back, dest, image, proxy, fetch — try open redirect and SSRF and HTTP smuggling before moving on.”

The “second-look” pattern

Read the report a second time and ask: what did the hunter try that didn’t work? Reports often mention “I first tried X — was blocked by Y — then tried Z.” That’s gold. It tells you the defence that’s already deployed and the bypass that beat it. Add the bypass to your toolkit.

Programs worth following

These programs publish enough to be self-teaching:

  • GitLab — hackerone.com/gitlab/hacktivity. Critical disclosures often include detailed root cause and patch commit links — close to a textbook.
  • Shopify — high signal, large bounties, breadth across web/API/mobile.
  • Internet Bug Bounty (IBB) — open-source crits (PHP, OpenSSL, Linux kernel) — adjacent to vendor disclosures.
  • GitHub Security Lab — code-audit grade writeups (Java deserialisation chains, prototype pollution).
  • Mozilla / Chromium VRPs — browser bugs disclosed after patch ship.

The “anti-dupe” insight

Critical-paying reports are often not what’s in the OWASP top 10. They’re:

  • Business-logic flaws that no scanner finds.
  • Multi-step IDORs across two services.
  • Subtle race conditions in payment / withdrawal / 2FA-enable flows.
  • Account-takeover chains across SSO + recovery + session-tied permissions.

If a class is in OWASP top 10 and the program has been live for two years, it’s been hunted to death — anything obvious is a dupe. The bounty’s in the chain.

See also: dupe-mental-model, account-takeover-modern-chains, testing-methodology-checklists.

Building the personal database

Keep your read-50 notes in a single markdown file. After a year you have a personalised, searchable corpus of pre-conditions ranked by frequency. That’s your private edge.

Tag every entry: class, precondition, target-type (SaaS / marketplace / API / mobile-backed), bounty-band. When you target a new program, filter your DB by target-type and re-read just those pre-conditions before you start.

References