V Vectorly AI Security Lab

Cloudflare Application Security Demo

See malicious traffic stopped before it reaches the application.

A controlled demo of Cloudflare WAF, OWASP protections, DDoS posture, Bot Management, and narrowly scoped security exceptions.

Ready No tests run yet
Frontend Pages
API Pages Functions
Target Current host
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Controlled environment only Attack-like requests and small traffic bursts are designed only for this demo. They are not DDoS tests.

One story, five proofs of value

01
Establish trust Normal request and edge context
02
Stop exploits WAF and OWASP
03
Protect identity Credential stuffing
04
Protect content Automated scraping
05
Protect availability Expensive AI endpoint
01

Edge request context

Visibility

Prove that every application request passes through Cloudflare and expose the edge, TLS, protocol, and Bot Management context available to policy.

Expected result HTTP 200 with Cloudflare request metadata
02

WAF and OWASP protections

Reduce risk

Compare a normal request with attack-like input. Cloudflare evaluates the request before the Pages Function executes.

Expected result Normal request succeeds; malicious patterns log or block
03

Credential-stuffing controls

Protect trust

Demonstrate legitimate login behavior, failed authentication, and a small controlled burst that can populate Bot Analytics and Security Events.

Expected result Bot rule logs or challenges low-score login automation
04

Proprietary-content scraping

Lower TCO

Retrieve a single customer document normally, then enumerate a controlled set of content IDs to generate scraping telemetry.

Expected result Definite unverified bots log or block at Cloudflare
05

Expensive AI workflow

Protect scale

Simulate a costly AI request and a harmless traffic sample. Use this route to discuss automatic HTTP DDoS mitigation without generating an attack.

Expected result Requests show simulated model cost and edge metadata