Security Scan Report: legoohiring.vercel.app

Redirected to:
https://legoohiring.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 3 countries across 5 domains to perform 28 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://legoohiring.vercel.app

Effective URL:
https://legoohiring.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 90%

9
Risk Score

Fake Calendly booking page on a vercel.app subdomain using Calendly's favicon and cloned scheduling text, with a Facebook sign-in lure and a Telegram bot token that can exfiltrate collected data.

Risk Factors (5)
Calendly favicon and page layout cloned on a non-Calendly Vercel subdomain
Telegram bot token embedded in page script (collection/exfiltration channel)
Facebook sign-in lure on a domain unrelated to Facebook
Hosted on a free vercel.app subdomain whose creation date is unknown and cannot be attributed to the platform apex
Title/meta ('Find the right job type for you', 'Welcome to React Router!') do not match the cloned booking-page content
Domain age information unavailable

Details

Page Title

Find the right job type for you

Scan Type

public

Domain Name Analysis

The domain 'legoohiring.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'legoohiring'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. Breaking it apart gives two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://legoohiring.vercel.app

Page Load Overview

0.78s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:285 chars
Detector Agreement:75%

Website Classification

Primary Category

social media network73% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
73%
documentation technical
35%
government public service
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
464.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
4157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
474.125.29.95Google · CDNUnited States
AS15169Google LLC
4142.251.14.94Google · CDNUnited States
AS15169Google LLC
4149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
4216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
287--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B752D8BD542009BB122F46A47660674EAB64A707CE07FD1871AC076D3FC8DEC4DD6EA4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:k7Y1h+T+ptuVQR8kFnyrihcr/rlzmuKLoxR3VzdQ3azzUiqZWTNYm9BorNl:yWmrihwv7TFze3mYZ8YyorNl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13277:wKFBNAISATYGNZKEBxiSEyKgANASQEoVINMK06cwAUsTscBQESEcKIQzgBTRiAjIRM2yzHIUAgBDQmhkBopADGokCU8wIAdU

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:ff9f87939fff83ff
Perceptual Hash:bc3cc3c3c74f1838
Difference Hash:00bc3c6636402300
Wavelet Hash:ff81819181ad81ff
Color Hash:#8479d2

Other Hashes

Crop Resistant:00bc3c6636402300

Scan History

Scan history not available

Unable to load historical scan data