Security Scan Report: leanl-rosy.vercel.app

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 6 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://leanl-rosy.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Microsoft credential-phishing page on a free vercel.app subdomain: branded fake 'security verification' login with a password field, a Telegram bot exfiltration token, and a Safe Browsing social-engineering flag.

Risk Factors (6)
Brand impersonation of Microsoft on a domain not controlled by Microsoft
Credential-harvesting form (email + password) with deceptive 'verifying credentials' messaging
Telegram bot-token exfiltration channel embedded in page scripts
Free hosting platform subdomain with unknown creation date masking the page's true age
External IP geolocation lookup used to personalise the lure
Google Safe Browsing Social Engineering detection
Domain age information unavailable

Details

Page Title

Security verification - Microsoft account

Scan Type

public

Domain Name Analysis

The domain 'leanl-rosy.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'leanl-rosy'. Its registrable label 'vercel' stretches across 6 characters with 2 vowels and 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

BE Microsoft Security verification Continue to account settings ‘Stockholm, Sweden + 185.195.233.178 Email, phone, or Skype No account? Create onel Can't access your account? 6.2026 Microsof | P...

Page Load Overview

0.41s
Total Load Time
42 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:522 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software72% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
72%
documentation technical
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
664.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
023.194.190.161Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
023.52.181.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
0104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
02.21.20.146Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
67--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B762A53D69693A017423D06C777A93063677B103D906C61379ED4688CF4AE9EBEB239C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:EiBIG3DxgN5Ps1PbOX8BwduJ/z2SXdor1w2LH/5u6yH7Q9MPwg9PtyJYbBU+QJJV:BIeScPbB+JJixvA+Qj1N1qgb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15681:pggGlTFoFMYIIAQASgEmBskz4whIGBIAAAhYoAICCo0QkDVuKkEACEExgAIMGhCEbAMmUAAEIkwRhCrmUDmOEEJYKYQIRQCA

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:ffffffffe7e7ffe7
Perceptual Hash:b399cc66338c6633
Difference Hash:0010282a4d4c3008
Wavelet Hash:03031b0b07070f0f
Color Hash:N/A

Other Hashes

Crop Resistant:0010282a4d4c3008

Scan History

Scan history not available

Unable to load historical scan data