Security Scan Report: legoohiring.vercel.app

Redirected to:
https://legoohiring.vercel.app/
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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 3 countries across 5 domains to perform 29 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

High Risk

Confidence: 86%

8
Risk Score

Fake Calendly-style scheduling page on a Vercel subdomain using Calendly's favicon and a Facebook sign-in lure, with a Telegram bot token in its script and a phishing report on the domain.

Risk Factors (6)
Primary domain flagged for phishing (single-source community report)
Calendly favicon and scheduling-page layout on a non-Calendly host (brand impersonation)
Telegram bot token in page script — credential/data exfiltration channel
Third-party brand sign-in button ('Continue with Facebook') on unrelated domain
Content and meta tags inconsistent with a legitimate booking service
Instant-publish shared hosting subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Find the right job type for you

Scan Type

public

Domain Name Analysis

The domain name 'legoohiring.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'legoohiring'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Word splitting yields two words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

; Barbara Volz 30 Minute Meeting © 30min Web conferencing details provided upon confirmation. Cookie Settings Sign in to schedule a call OC tam not a robot (2) Continue with if] Facebook

Page Load Overview

1.41s
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
564.29.17.195Aws · 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.
4192.178.183.95Google · CDNUnited States
AS15169Google LLC
4142.251.20.94Google · CDNUnited States
AS15169Google LLC
4149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
4216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
297--

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:07000000047

Other Hashes

Crop Resistant:00bc3c6636402300

Scan History

Scan history not available

Unable to load historical scan data