Security Scan Report: dmpmnnu-smoky-96.vercel.app

Redirected to:
https://dmpmnnu-smoky-96.vercel.app/common/oauth2/v2.0/authorize?clien...
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 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: http://dmpmnnu-smoky-96.vercel.app/

Effective URL:
https://dmpmnnu-smoky-96.vercel.app/common/oauth2/v2.0/authorize?clien...
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Microsoft sign-in hosted on vercel.app that forges Microsoft's OAuth authorize URL, uses Microsoft branding and favicon, and embeds a Telegram bot token to exfiltrate submitted credentials. Do not enter any account details.

Risk Factors (6)
Brand impersonation: Microsoft login interface and favicon on a non-Microsoft domain
Deceptive OAuth URL forging Microsoft's authorize endpoint and client parameters
Embedded Telegram bot token enabling direct exfiltration of captured input
Hosted on a free instant-subdomain platform (vercel.app) with unknown creation date, standard for throwaway phishing kits
Email/username harvesting field presented as a Microsoft account login
IDS alerts for abuse-associated cloud hosting (vercel.app) and Telegram C2-style traffic
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

Domain 'dmpmnnu-smoky-96.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'dmpmnnu-smoky-96'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside four consonants. Segmentation suggests 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

go Microsoft Sign in Email, phone, or Skype No account? Create one! Can't access your account? © Sign-in options Terms of use Privacy & cookies

Page Load Overview

1.47s
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 software65% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
65%
social media network
45%
news media journalism
28%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.95.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1149.154.166.110Amsterdam, North Holland, Netherlands
AS62041Telegram Messenger Inc
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
113.107.246.45Azure · CLOUDUnited States
AS8075Microsoft Corporation
119--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1895150B56270016F22478DD8BA61BB1EBBD7C30ACB03991865FD72E91BC5D88CC67160

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nX+O3yNd755zhD4GJ/cnAv3CS9Mexk2hpXCTnVyRU/:nxC7D54G16AvRMemxVh/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2567:AAAAAgAQQgABIQgQAAAAECACARIQAAFiQAQCAAAEIAAATYQFBCEiQYYIgAACAAQQAAAYAAKAAgAAAAQAIIAAAkAQIAgAgCBA

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:N/A

Other Hashes

Crop Resistant:88e4f2d3e5e6e6e6

Scan History

Scan history not available

Unable to load historical scan data