Security Scan Report: legoohiring.vercel.app

Redirected to:
https://legoohiring.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 3 countries across 5 domains to perform 42 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: 74%

7
Risk Score

A vercel.app page wearing Calendly's favicon and cloning its booking screen, with scripts posting to a Telegram API endpoint. No credential form was captured, but the brand impersonation and Telegram sink make it unsafe to interact with.

Risk Factors (4)
Calendly favicon and UI cloned on a non-Calendly host (brand impersonation)
Cross-origin fetch to api.telegram.org, typical of data-exfiltration funnels in scam kits
Host is a free vercel.app subdomain of unknown creation date with no reputation (unranked in Cisco Umbrella)
Title/meta text unrelated to the actual rendered content suggesting a repurposed or hastily assembled template
Domain age information unavailable

Details

Page Title

Find the right job type for you

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'legoohiring.vercel.app' is registered; it also runs on subdomain 'legoohiring'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four consonants. It segments into 2 words: ver, cel. Median word length comes out to three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.80s
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
7216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
7157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
7192.178.183.95Google · CDNUnited States
AS15169Google LLC
7142.251.20.94Google · CDNUnited States
AS15169Google LLC
7149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
764.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
426--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19A42F9BD542006BB122B56B47160674EAB646707CE0BFD28B1AC076D3FC4DEC4DD6EA4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:g7Y1h+T+ptuVQR8kFnyrihcr/rlZmuKLoxR3VzdQ3CzJUiqZWTNYm9BorNl:GWmrihwd7TFze3mYZ8YyorNl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13145:ADAEQjACAN4IEKRMBgKgRihqZDAAzIEASyjCJAwBEohAGlMYAKhgCISMlLcVwd8MAangBoGwClBoSIQpJAi4EyFIUBwERKxb

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:#5dbf40

Other Hashes

Crop Resistant:00bc3c6636402300

Scan History

Scan history not available

Unable to load historical scan data