Security Scan Report: htyd.vercel.app

Redirected to:
https://htyd.vercel.app/common/oauth2/v2.0/authorize?client_id=956811c...
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Submitted: Completed: publiccompleted
This website contacted 6 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=956811c...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Fake Microsoft sign-in hosted on a vercel.app subdomain that impersonates Microsoft branding, forges a Microsoft OAuth URL, and ships a Telegram bot token to exfiltrate harvested credentials. Credential phishing.

Risk Factors (6)
Brand impersonation of Microsoft sign-in on a non-Microsoft domain
Credential-harvesting page with a Telegram bot exfiltration channel
Forged Microsoft OAuth authorize URL to add legitimacy
Hosted on an instant free subdomain of a shared hosting platform with unknown creation date
Primary domain flagged for phishing by a threat-intel source
IDS alerts for actor-abused cloud hosting service
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain 'htyd.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'htyd'. Its registrable label 'vercel' stretches across 6 characters split between two vowels and four consonants. Tokenizing the label suggests two 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 https://htyd.vercel.app/

Page Load Overview

0.70s
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 software27% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
113.107.246.61Azure · CLOUDUnited States
AS8075Microsoft Corporation
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
116--

Detected Technologies3

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:#ac6953

Other Hashes

Crop Resistant:88e4f2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data