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Security Scan Report: legoohiring.vercel.app

Redirected to:
https://legoohiring.vercel.app/
Site favicon
Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/bf406789-275e-4f10-a01b-da0d27bae058Domain and IP registration (RDAP)/api/v1/rdap/bf406789-275e-4f10-a01b-da0d27bae058How often this domain was scanned/api/v1/domain/stats/legoohiring.vercel.appScan history for this domain/api/v1/domain/history/legoohiring.vercel.app?limit=15
This website contacted 9 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

High Risk

Confidence: 78%

8
Risk Score

Unranked vercel.app page wears Calendly's favicon and scheduling styling, offers a Facebook sign-in, and embeds a Telegram bot token for exfiltration — a lookalike credential-phishing page.

Risk Factors (5)
Calendly favicon and scheduling-page styling used on a domain that is not Calendly's
Telegram bot token embedded in page scripts enabling data exfiltration to an attacker chat
Cross-origin fetch to api.telegram.org tied to the exfiltration mechanism
'Continue with Facebook' login affordance on an unrelated hosting subdomain
Unranked, unattributable vercel.app subdomain with a known actor-abused hosting reputation
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); it also runs on subdomain 'legoohiring'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.95s
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
464.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3157.240.0.35Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
3142.250.154.94Google · CDNUnited States
AS15169Google LLC
3149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
289--

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:#e06c6c

Other Hashes

Crop Resistant:00bc3c6636402300

Scan History

Scan history not available

Unable to load historical scan data