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Security Scan Report: miked.vercel.app

Redirected to:
https://miked.vercel.app/
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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/ded7f0ce-362b-44e3-8cc6-75ef579ce8c7Domain and IP registration (RDAP)/api/v1/rdap/ded7f0ce-362b-44e3-8cc6-75ef579ce8c7How often this domain was scanned/api/v1/domain/stats/miked.vercel.appScan history for this domain/api/v1/domain/history/miked.vercel.app?limit=15
This website contacted 5 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://miked.vercel.app/

Effective URL:
https://miked.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 90%

8
Risk Score

Fake Outlook login on a vercel.app subdomain collecting username and password. Brand impersonation plus credential form; avoid entering credentials and report.

Risk Factors (4)
Brand impersonation of Outlook on a non-Microsoft domain
Credential collection form with username and password fields
Hosted on an unranked shared-hosting subdomain with unknown creation date
IDS alerts indicate vercel.app is a commonly abused cloud hosting service
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Domain Name Analysis

Domain 'miked.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'miked'. The second-level label 'vercel' is 6 characters long split between two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

[ 2 \ ES ol Outlook Daminio/Mome utente: password: © Login

Page Load Overview

0.27s
Total Load Time
62 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

Text Length:308 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property50% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

real estate property
50%
technology software
47%
news media journalism
46%
phishing scam
40%
government public service
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
55--

Detected Technologies4

X-UA-Compatible
100%
PasswordField
100%
JQueryv3.6.0
100%
jQuery CDN
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T116537D7B66673909781B60E8BBFB17452E2C8013D94FC9787DAC265CCF81AD84163B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4yDwgKaKwoVS30bSs/kzdKV7aQblNoJmgK4e2FuzTQHcmI3ilFHkR7sSaK:JoUQR/EkF5F4nFuAcp3iDOaK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64404:TEOhgGIAagcBIBaGFrnMigQCUUCjEAYgCA2ECABEaHqgBQIk2aLGBBQVHAAwdIDAawwIkCAFrliBR0WFBl4PAkAoTC1imRAN

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:3f3f3f3f3f3f3f3f
Perceptual Hash:83f677010989d9fc
Difference Hash:d0ccccd8d8d0d0d0
Wavelet Hash:3f273f3f3f300000
Color Hash:060000001c0

Other Hashes

Crop Resistant:a09c989090808080,f184acb6b6ac84e1,0e71710e20000000

Scan History

Scan history not available

Unable to load historical scan data