Security Scan Report: htyd.vercel.app

Redirected to:
https://htyd.vercel.app/common/oauth2/v2.0/authorize?client_id=4f238c6...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

Effective URL:
https://htyd.vercel.app/common/oauth2/v2.0/authorize?client_id=4f238c6...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Microsoft sign-in page on a vercel.app host, serving Microsoft's favicon and forging the Microsoft OAuth flow, with a Telegram bot token wired in to exfiltrate captured input. Definitive phishing.

Risk Factors (6)
Brand impersonation: forged Microsoft sign-in page on a non-Microsoft domain
Microsoft favicon and styling used on a host that is not Microsoft's
Telegram bot token embedded in page script (messaging-bot exfiltration channel)
Domain reported to threat intelligence as phishing
OAuth parameters forged to imitate Microsoft's authentication endpoint
Unranked hosting-platform subdomain 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), featuring subdomain 'htyd'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside 4 consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.62s
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
6216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.250.154.95Google · CDNUnited States
AS15169Google LLC
113.107.246.45Azure · CLOUDUnited States
AS8075Microsoft Corporation
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
127--

Detected Technologies1

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:#d279a7

Other Hashes

Crop Resistant:88e4f2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data