Security Scan Report: htyd.vercel.app

Redirected to:
https://htyd.vercel.app/common/oauth2/v2.0/authorize?client_id=2263dca...
Site favicon
Submitted: Oct 2, 2026, 2:52:30 PMCompleted: Oct 2, 2026, 2:53:10 PMpubliccompleted

This website contacted 9 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is htyd.vercel.app and was registered 21 years ago.

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

Effective URL:

https://htyd.vercel.app/common/oauth2/v2.0/authorize?client_id=2263dca...
Redirected

AI Security Verdict

High Risk

Confidence: 85%

8
Risk Score

Fake Microsoft sign-in on a vercel.app subdomain: Microsoft favicon/branding, forged OAuth2 parameters, phishing report and Telegram API traffic. Do not enter any account details.

Risk Factors (5)
Microsoft brand impersonation (favicon + styled login) on a non-Microsoft domain
Forged Microsoft OAuth2 authorize URL parameters used as a trust prop
Phishing threat-intelligence report against the primary domain
Telegram API POST traffic observed alongside the page (possible exfiltration backend)
Deployed on free/shared hosting subdomain with unranked domain reputation
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain name 'htyd.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'htyd'. Its registrable label 'vercel' stretches across 6 characters holding 2 vowels versus 4 consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.60s
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 software63% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
63%
social media network
50%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.13.95Google · CDNUnited States
AS15169Google LLC
129--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16F5162B56170016F12478DD8B961BB1DBBDBC309DB039A1825FD76E91BC5D88CC67160

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TX+OzyNd755zhD4GJ/cnAv3CS9Mexk2hpXCTnVyRU/:TxG7D54G16AvRMemxVh/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2582:AQoBAAIAAAIACAEgGCBAAJQRAQAAAAAhAEgAEDAoIAAQCQhAQIEABFAAAQKAQCBAAAAQAQCAgAISAgAEEAAEAAACADgAAAAo

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:#785b3a

Other Hashes

Crop Resistant:88e4f2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data