Security Scan Report: redirect-discovery-to-cal-based-on-geo.cloudflare-7ff.workers.dev

Redirected to:
https://cal.com/recops/discovery-2
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 4 domains to perform 95 HTTP transactions. The main domain is workers.dev and was registered 7 years ago.

Submitted URL: http://redirect-discovery-to-cal-based-on-geo.cloudflare-7ff.workers.dev/

Effective URL:
https://cal.com/recops/discovery-2
Redirected

AI Security Verdict

Moderate Risk

Confidence: 85%

5
Risk Score

This disposable or newly registered address only forwards visitors to a well-known site, a common way to hide a scam from security scanners — rated moderate risk on that basis.

Risk Factors (1)
Entry hostname is an opaque, auto-named Cloudflare Workers subdomain whose actual creation date is unknown, and it silently geo-redirects visitors; this obscures the funnel's origin even though the destination is benign.
Safety Factors (2)
The cross-domain redirect terminates on cal.com, the legitimate scheduling service that actually hosts and serves the booking page.
All page-served JavaScript originates from the site's own domain; no third-party script hosts observed.
Domain age information unavailable

Details

Page Title

Discovery call | Henrique Dantas | Cal.com

Scan Type

public

Domain Name Analysis

Within the developer-focused generic top-level domain (.dev), 'redirect-discovery-to-cal-based-on-geo.cloudflare-7ff.workers.dev' is registered and includes subdomain 'redirect-discovery-to-cal-based-on-geo.cloudflare-7ff'. Its registrable label 'workers' stretches across 7 characters split between 2 vowels and 5 consonants. It segments into one word: workers. No strong language cues emerged from the frequency lists.

Screenshot

Henrique Dantas Discovery call Hi, Once you book please check the link in the email that will follow. Click this link to join the call at the scheduled time. Looking forward to it, Henrique @th...

Page Load Overview

4.53s
Total Load Time
2.3 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:683 chars
Detector Agreement:67%

Website Classification

Primary Category

entertainment media62% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
62%
adult content
51%
news media journalism
43%
social media network
37%
government public service
33%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19104.18.0.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19188.114.96.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1934.160.81.0Google · CDNKansas City, Missouri, United States
AS396982Google LLC
19188.114.97.3Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
19104.18.1.62Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
955--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10534294FB500DC1BC9878E7EB77D6E37E259C16AD9541838E2ACCD3C12D7478ABA6840

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ybgARnD/hu+wGc3+JeCMCgmeJs/mxx4SyqswhcL4n/E2NGkm6Kxw+AyU/2oCoe3p:yLGVsw8kUoK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:248797:ToQkBBahcEBAIgIEEoBFgKIJogIKiJ6ggqiIkNCHQWRCTYG9yCGnQCADIuG6Bi0RSAYjIhDYAJcICQwuQqGAQAQEbxwhAwjE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:feab9b8fa7ffe7ff
Perceptual Hash:b31ccc63339ccc33
Difference Hash:0052322a0a220800
Wavelet Hash:d8a99a9aa2bae0f8
Color Hash:N/A

Other Hashes

Crop Resistant:0052322a0a220800

Scan History

Scan history not available

Unable to load historical scan data