Security Scan Report: htyd.vercel.app

Redirected to:
https://htyd.vercel.app/common/oauth2/v2.0/authorize?client_id=ebf0ecd...
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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 11 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://htyd.vercel.app/

Effective URL:
https://htyd.vercel.app/common/oauth2/v2.0/authorize?client_id=ebf0ecd...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Confirmed Microsoft-brand phishing page on a free vercel.app subdomain that mimics Microsoft's OAuth sign-in and embeds a Telegram bot token to exfiltrate submitted data.

Risk Factors (5)
Brand impersonation of Microsoft on an unrelated, unranked vercel.app subdomain
Telegram bot token embedded in page script enabling exfiltration of submitted data
Fake OAuth2/authorize URL structure spoofing Microsoft's real authentication endpoint
Credential-collection form (email/username field) presenting as Microsoft account login
Single-source phishing report on the primary domain; shared-hosting tenant with unknown creation date
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

Domain 'htyd.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'htyd'. The registrable portion 'vercel' spans 6 characters split between two vowels and four consonants. Word splitting yields two words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://htyd.vercel.app/

Page Load Overview

0.25s
Total Load Time
102 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:161 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software65% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
65%
social media network
45%
news media journalism
28%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
117--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E85150B56270016F22478DD8BA61BB1DBBEBC309CB03991865FD76E91BC5D88CC67160

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nX+OzyNd755zhD4GJ/cnAv3CS9Mexk2hpXCTnVyRU/:nxG7D54G16AvRMemxVh/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2567:AAAAAgIQQgABIQgQAAAAECACARIQAAFiQAQCAAAEIAAATYQFBCEgQYYIgAACAAQQAAAYAAKAAgAAAAQEIIAAAkAQIAgAgCBA

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:0000393b37373737
Perceptual Hash:8459747642d95b6e
Difference Hash:88e4f2d3e5e6e6e6
Wavelet Hash:00203b3b373f3737
Color Hash:#86522d

Other Hashes

Crop Resistant:88e4f2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data