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Security Scan Report: michaelhayashipp.pages.dev

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Submitted: Dec 29, 2025, 12:19:48 AMCompleted: Dec 29, 2025, 12:21:23 AMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 14 domains to perform 47 HTTP transactions. The main domain is michaelhayashipp.pages.dev and was registered NaN years ago.

Submitted URL: https://michaelhayashipp.pages.dev/vcll-social-security-ssi-payment-schedule-2025-india-zaugx/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

High‑risk phishing site impersonating Social Security SSI and linking to known malicious domain.

Risk Factors
Presence of malicious Indicators of Compromise (pages.dev) linked from the site
Impersonation of a government program (Social Security SSI) on an unrelated domain
Unranked domain with no reputable reputation
Potential social engineering targeting users looking for SSI payment schedules
Domain age information unavailable

Details

Page Title

Social Security Ssi Payment Schedule 2025 India - Michael Hayashi P.P

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(60%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'michaelhayashipp.pages.dev' is registered and includes subdomain 'michaelhayashipp'. The second-level label 'pages' is 5 characters long containing two vowels alongside 3 consonants. Splitting it apart reveals one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://michaelhayashipp.pages.dev/vcll-social-security-ssi-payment-schedule-2025-india-zaugx/

Page Load Overview

27.77s
Total Load Time
47
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:3,020 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog60% confidence
Type: dynamic
Method: structural

All Detected Categories

news/blog
60%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22188.114.96.3United States
AS13335CLOUDFLARENET
2172.66.169.241UnknownUnknown
2146.75.121.140UnknownUnknown
1104.21.11.140United States
AS13335CLOUDFLARENET
1192.0.77.2UnknownUnknown
1192.185.5.168UnknownUnknown
1142.250.184.225UnknownUnknown
1150.171.28.10UnknownUnknown
1107.161.190.200UnknownUnknown
09--

Detected Technologies8

WordPressv6.6.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.6.1
100%
PHP
50%
MySQL
50%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D132A3351D914773F4F97ECD0A1B71CA9A5A224CA035BAD72F8B118AF84DF681A720D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:SchwSNZdapBPdST+ZgKMqhVDpDzOOSI+tIFKJi53:Pap2T+mKMqhvzD7+tIFKJi53

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:43217:3oQPYAYhADmFkFINNMghVoBQlAAMA+FbaoCEhGgRJTvhBgIFYXDIoSAvWCArCAEjyAAwIYCjGD0JBswMQgBCAiGtWhgAQCQQ

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:00ffbf8787878787
Perceptual Hash:bf4141452f2f6a6a
Difference Hash:d6706d4d6d6d6d6d
Wavelet Hash:009ebf8787878787
Color Hash:#e06cc3

Other Hashes

Crop Resistant:d6706d4d6d6d6d6d,0000000000000000

Scan History

Scan history not available

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