Security Scan Report: www.statement-of-account-alpha.vercel.app

Redirected to:
https://statement-of-account-alpha.vercel.app/
Site favicon
Submitted: Sep 24, 2026, 1:45:17 PMCompleted: Sep 24, 2026, 1:46:18 PMpubliccompleted

This website contacted 8 IPs in 2 countries across 4 domains to perform 17 HTTP transactions. The main domain is statement-of-account-alpha.vercel.app and was registered 14 years ago.

Submitted URL: http://www.statement-of-account-alpha.vercel.app/

Effective URL:

https://statement-of-account-alpha.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Microsoft/Office 365 credential-phishing page on a vercel.app subdomain: fake sign-in form harvesting email and password, Safe Browsing Social Engineering hit, and Microsoft favicon/branding on a non-Microsoft host. Do not enter credentials.

Risk Factors (6)
Microsoft brand impersonation on a non-Microsoft domain
Credential-harvesting login form (email + password)
Google Safe Browsing Social Engineering threat
Microsoft favicon served from a non-Microsoft host
Forms post to '#' with a stolen Microsoft login-kit field set (flowToken, canary, hpgrequestid)
Free/instant hosting subdomain (vercel.app) with unknown creation date
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain name 'www.statement-of-account-alpha.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.statement-of-account-alpha'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. It segments into 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.statement-of-account-alpha.vercel.app/

Page Load Overview

5.97s
Total Load Time
526 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:178 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software55% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

technology software
55%
adult content
39%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
223.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
223.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
178--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T150614EEB3DE0582A6013C2A597FFF509AB41911B9114DC91BC8C8ADD4FE0BEA88D321D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:qr4HFL1mlUNiRs2FbB2W/7Hh/7q7MP7tV4:31M1B2c7Ht7q4TtG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3181:QwABACEEACggCAAIAABCYEBCAAkAAEAAAQCQQAgAgACAoBAAgIAAAEADAAkUBgQQAgAhAIQiNEQgQADCMoBASAAAmIAAhAaA

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:7fcf0fcff71f1f2f
Perceptual Hash:99f1830ec2991fe6
Difference Hash:50921a9ac4706868
Wavelet Hash:dbcb0bdb70081f0e
Color Hash:#40bf62

Other Hashes

Crop Resistant:50921a9ac4706868

Scan History

Scan history not available

Unable to load historical scan data