Security Scan Report: live-wemustcollectdemwith-onlline.vercel.app

Redirected to:
https://live-wemustcollectdemwith-onlline.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 5 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://live-wemustcollectdemwith-onlline.vercel.app/

Effective URL:
https://live-wemustcollectdemwith-onlline.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake Microsoft sign-in on a free vercel.app subdomain that harvests email and password and ships them to a Telegram bot; the 'security verification' and location banners are fabricated.

Risk Factors (5)
Brand impersonation of Microsoft on a non-Microsoft domain
Credential harvesting form (email + password) framed as a security verification step
Telegram bot token in page JavaScript — credential exfiltration sink
External IP-geolocation lookup used to fabricate believable login context
Hosted on an anonymous, unranked shared platform subdomain
Domain age information unavailable

Details

Page Title

Security verification - Microsoft account

Scan Type

public

Domain Name Analysis

The domain 'live-wemustcollectdemwith-onlline.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'live-wemustcollectdemwith-onlline'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

BE Microsoft Security verification Continue to account settings ‘Stockholm, Sweden + 185.195.233.169 Email, phone, or Skype No account? Create onel Can't access your account? 6.2026 Microsof | P...

Page Load Overview

3.65s
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
764.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
023.48.32.77Akamai · CDNMarseille, Provence-Alpes-Côte d'Azur, France
AS20940Akamai International B.V.
023.52.181.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
0104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
023.48.32.85Akamai · CDNMarseille, Provence-Alpes-Côte d'Azur, France
AS20940Akamai International B.V.
0172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
79--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14B62A43D69693A017423D05C77BAD30536777103D906C62379ED4688CF8AD9EBAB239C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:EiBIG3tgN5U1TOX8BjJ/z2SXd61w2HU6yHSMVVtyJYbBk+JJJRF6x/AjqPIjiqPX:BI+ycvbBfJJCx/A+wj1tH6gf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15464:rECpgCCgpJ0eobiWghJECiAZPiQQANAoVQRToEQhIg9S4C1gIwQAgTA1gQYAClgxuhCLZlUQMJWAUgFBRUkpOUBxIIMlgQQA

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