Security Scan Report: www.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 6 domains to perform 8 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

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

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed Microsoft credential phishing: a fake security-verification login on a Vercel subdomain captures email and password, with a Telegram bot token available to exfiltrate the stolen data.

Risk Factors (6)
Brand impersonation of Microsoft on a non-Microsoft domain
Credential-harvesting login form (email + password)
Telegram bot token embedded in page script for data exfiltration
External IP lookup via ipapi.co
Unranked shared-hosting subdomain with unknown creation date
IDS alerts for actor-abused cloud hosting service
Domain age information unavailable

Details

Page Title

Security verification - Microsoft account

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.live-wemustcollectdemwith-onlline.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.live-wemustcollectdemwith-onlline'. The registrable portion 'vercel' spans 6 characters split between two vowels and 4 consonants. Segmentation 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 Falkenstein, Germany + 178,63.16.224 Email, phone, or Skype No account? Create onel Can't access your account? 6.2026 Microsof | P...

Page Load Overview

2.73s
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
8216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0142.251.20.95Google · CDNUnited States
AS15169Google LLC
062.115.253.17France
AS1299Arelion Sweden AB
023.52.181.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
0104.26.8.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
89--

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