Free tool · Beta

Bot Detection.Which anti-bot guards that site?

Identify the bot-management and anti-bot vendor protecting any site — DataDome, HUMAN (PerimeterX), Kasada, Cloudflare Bot Management, Imperva and more — detected from response headers, cookies and challenge behaviour. Passive and non-intrusive.

AT A GLANCEBot Detection
BETA
Livein beta now
Freeno signup required
Passivefingerprinting only
BOT MGMTedges & CDN WAFs covered
Shareableevidence-backed reports
2026launch window
Part of the CDN World toolkit · LIVE NOW IN BETA

Try: nike.comcloudflare.comleboncoin.fr

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Detection signals

Passive detection reads response headers, cookies and challenge behaviour. Some bot-management runs only on login, checkout or API paths, or reveals itself solely in client-side JavaScript — so a “none detected” here doesn’t guarantee a site is unprotected.

Bot management is one layer of defense. A free assessment reviews your whole security and delivery posture.

Quick checks — sites that commonly run bot management
nike.comNikecloudflare.comCloudflareleboncoin.frLeboncointicketmaster.comTicketmasterwalmart.comWalmartbestbuy.comBest Buyfootlocker.comFoot Lockerhermes.comHermèssupremenewyork.comSupremezalando.comZalando
Freeto use, forever
No signuprequired to run it
Shareableevidence-backed reports
Betalive now
Measured in your browserWe advise on speed. We practice it.Loaded just now · real numbers from this visit, not a lab score.
Page loaded
First byte
DOM ready
First paint
Largest paint
DNS lookup
TLS handshake
Transferred
Saved by compression
Requests
What it answers

WAF Detector in four questions.

Which WAF is in front

Cloud BOT MGMT, CDN-bundled WAF or appliance: identified from response signatures and challenge behavior.

Its posture toward normal traffic

How the edge treats ordinary requests: challenges, cookies, header rewrites, and what that costs in latency.

The evidence

Every fingerprint that fired, so a security team can verify the identification independently.

The performance implication

Security layers are delivery layers; the report notes what the detected stack typically adds to response times.

Under the hood

How it works.

A transparent look at exactly what the tool checks, and how it reaches its answer.

DETECTIONHow it works
Response signature analysis · headers & error pages

WAF products leave consistent fingerprints in headers, cookies and block-page markup; we match them against a maintained library.

Core
Cookie & header fingerprints · vendor markers

Bot-management vendors drop tell-tale cookies and headers — datadome, _px3, _abck, __cf_bm, x-kpsdk — matched against a maintained signature set.

Core
Challenge-response reading · passive only

A plain, harmless request reveals block or challenge pages (including Kasada’s bare 429) that identify active bot protection. No attack or exploit traffic is ever sent.

Principle
Honest-limits reporting · what passive can’t see

Detection reads response headers and cookies only; protection that runs solely in JavaScript or on login/checkout paths is reported as such rather than missed silently.

Supporting
The report

What you’ll get.

THE OUTPUTInside the report
Detected security edge

The product or service in front, with confidence scoring.

Included
Observed behaviors

Challenges, cookies and header rewrites seen during detection.

Included
Performance notes

What the detected stack typically means for latency and caching.

Included
Shareable report

Evidence included, ready for a security review thread.

Included
Use cases

Who it’s for.

Security due diligence

Know what actually protects a property you’re acquiring, auditing or integrating with.

Vendor verification

Confirm the WAF you pay for is the WAF that answers, misrouted zones are more common than anyone admits.

Consolidation planning

Mapping WAFs across an estate is step one of collapsing three security vendors into one.

Market research

See which security edges your market actually deploys, not which ones sponsor conferences.

Status & availability

Free and live now, in beta.

STATUSWhere the build stands
BETA
Freeat launch, no signup
2026launch window
200+assessments/yr behind the data
Earlyaccess list open now
Built on assessment data

The toolkit automates the detection and benchmark data behind the assessments we already run, the tools are how we prove the data is good.

Free, no signup, shareable

Every tool ships free with shareable reports; the business model is the advisory behind it, not your email address.

Live in beta now

Available free are in build. Dates are windows, not promises, we ship when the detection is trustworthy.

UNTIL IT SHIPSOpen the tool →

Want the answer before the tool exists? A free assessment runs the same analysis, human-graded, usually within 24 hours, and puts you on the early-access list for WAF Detector.

Status as of July 2026 · join the list and we’ll notify you at launch
FAQ

WAF Detector questions,
answered straight.

When does WAF Detector launch?

It’s in development as part of the CDN World toolkit; the tools page has the early-access list.

Is this a security scanner?

No, and deliberately so. It sends only ordinary, benign requests and identifies the protection layer from passive fingerprints. It never sends attack payloads, probes for vulnerabilities, or does anything a production site would register as hostile.

Which products can it identify?

The launch library targets the WAFs and BOT MGMT edges we meet most in assessments, the major CDN-bundled WAFs and standalone cloud products, and it will grow the way our CDN signature library did.

Can a WAF hide from it?

Some deployments mask well, and the report says so honestly: a low-confidence result with the evidence shown beats a confident guess.

Why does a CDN advisory build a WAF tool?

Because on modern stacks the WAF and CDN are one buying decision, you can’t advise on delivery without seeing the security layer in front of it.

I need this answered today.

A security-focused assessment covers WAF identification and posture, human-graded.