Security Scan Report: www.hotmail-two.vercel.app

Redirected to:
https://hotmail-two.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 3 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.hotmail-two.vercel.app/

Effective URL:
https://hotmail-two.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed Microsoft Outlook credential-phishing clone on vercel.app: fake sign-in form whose JavaScript sends the entered password to a Telegram bot. Never enter credentials; report and block.

Risk Factors (6)
Brand impersonation of Microsoft on an unrelated, unranked vercel.app subdomain
Credential harvesting form (email + password) disguised as the Outlook login
Explicit credential exfiltration to Telegram via embedded bot token
Victim IP/geolocation fingerprinting through ipapi.co and api.ipify.org
Hosting-platform subdomain of unknown age used to front a major-brand login
All page links are javascript:void(0) — no functional account recovery, typical of a phishing kit
Domain age information unavailable

Details

Page Title

Sign in to your Microsoft account

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.hotmail-two.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.hotmail-two'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. It segments into 2 words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

i} Microsoft Sign in to continue to Outlook Email, phone, or Skype No account? Create one! Can't access your account? Terms ofuse Privacy & cookies

Page Load Overview

0.89s
Total Load Time
17 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:396 chars
Detector Agreement:81%

Website Classification

Primary Category

technology software42% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
564.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
56--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13832FA7B35B0283524A7C0AA7563D3893452E053AD23C1497EFCA6188F67F8B69377C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KXxpmaI5PRT//tykr4pcOxdcpOu5iQkijei0ik0qIL5xelOj:JayRzQcOxdcpOciDijeiSFIL5xee

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11002:COQhAgN8WgAKSoYqEgQgRjAAxJ/SKwBAERuamnACYgORRDQDEiUSDgQBFjUZQQkYNWHQCUAiABBARWkW7BBAFBQoUSywWIRg

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:fff7ffffe7e7ffff
Perceptual Hash:b399cc6633993326
Difference Hash:000812124c4c3000
Wavelet Hash:0f0f1b0b071f0f0f
Color Hash:070000001c0

Other Hashes

Crop Resistant:000812124c4c3000

Scan History

Scan history not available

Unable to load historical scan data