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OSS maintainers: README badges, live demos, and leaked tokens

Live demos linked from READMEs run on real credentials more often than anyone admits. Free scans for every demo URL.

4 min read

Your stack, your exposures

Open-source demos serve dual duty as documentation and proof. They deploy fast, link prominently, update rarely — favoring credential decay over hygiene.

The three leaks we keep finding here

The working-demo key

Real credentials left in deployed examples because placeholders broke the story mid-recording.

Badge-service tokens

Status shields fetching private data via embedded PATs from homepages.

Fork-inherited config

Example .env.production files committed “for completeness” cloning into thousands of forks.

The check, time-boxed

Set aside ten minutes and run the audit yourself before trusting anyone’s dashboard, ours included:

  1. Open the deployed site in a browser you do not usually use, logged out.
  2. View source, then search the built JavaScript for eyJ — any hit is a JWT; decode its payload and read the role claim before reacting.
  3. Repeat for provider prefixes: sk_live_, sk-proj-, sk-ant-, AKIA, xoxb-, SG., whsec_.
  4. Search for connection schemes — postgres://, postgresql://, mongodb+srv:// — and for -----BEGIN PRIVATE KEY-----.
  5. For every hit, classify: public-by-design (anon keys, publishable keys, Firebase web keys) or genuinely secret. Only the second category is an incident.

That routine works, with two caveats: it only covers what the landing page loads unless you chase route-manifest chunks yourself, and it says nothing about yesterday’s deploy. Automation exists precisely because the check decays.

After the first scan

Everything here runs on the free tier — one slot covers the primary demo URL; paste mode handles the rest ad hoc.

Boundaries, stated plainly

KeyDrift scans deployed web artifacts — URLs and pasted bundle source. It does not scan mobile binaries, private networks, or repositories; code behind a login is covered by paste mode, and runtime-assembled keys are outside every bundle scanner’s honest reach.

Why this failure class persists

Zoom out and the pattern is bigger than one repo. AI-assisted output has outgrown review capacity everywhere at once, which means thousands of teams are making the same reasonable-looking tradeoffs in the same week. Nobody using modern tooling is uniquely exposed. The failure mode documented above is the modal outcome of velocity without verification, not evidence of carelessness.

How KeyDrift reports this exact finding

Report anatomy matters during incidents, so it is worth reading once calmly: masked string (never the live value — it ceases to exist outside the detection engine), salted fingerprint (trackable within your workspace, useless to strangers), chunk path (your starting point for a "git log -S" hunt), disposition (secret versus public-by-design), confidence (matches below 0.5 never reach the page at all).

Manual check, step by step

The full manual drill, for readers who want zero dependence on any tool: open the deployed site in a private window; launch DevTools → Sources; use Search-all-files (Ctrl/Cmd+Shift+F) for eyJ; then repeat for the other marker families — eyJ, sk_live_, sk-proj-, AKIA, postgres, BEGIN PRIVATE KEY. Decode anything JWT-shaped before reacting, and classify public-by-design formats as expected guests rather than intruders.

Close the loop with monitoring

If you take one operational step from this page, make it this: put the URL under continuous monitoring (free tier covers one project daily). The first scan tells you whether you have a problem today; the schedule tells you whether the problem comes back next month after someone re-adds the convenient line.

What the plans change

  • Free $0 — 1 project · daily scans · email alerts · findings always visible.
  • Indie $29/mo — 3 projects · hourly · Slack added · 80 chunks per scan.
  • Team $89/mo — 15 projects · every 15 minutes · Discord + webhooks · 150 chunks.
  • Growth — from $249/mo, quoted display-only until checkout ships.

The constant across every tier: plans limit how much is watched, never what a scan found. Visibility is structural, not promotional — asserted by tests over the entitlements model itself.

Common questions

Sample-key discipline praised?

Absolutely — projects using documented fakes correctly deserve credit, not scanner noise.


Run a free scan at keydrift.dev/scan — paste a URL or the bundle source itself, no account. Findings arrive masked, with the exact chunk they live in.

Published by PostHat, KeyDrift’s content pipeline. Every factual claim is grounded in KeyDrift’s product documentation.