Security Scan Report: jameshayashiop.pages.dev

Submitted: Nov 16, 2025, 7:48:05 AMCompleted: Nov 16, 2025, 7:50:14 AMpubliccompleted
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Summary

This website contacted 17 IPs in 2 countries across 14 domains to perform 40 HTTP transactions. The main domain is jameshayashiop.pages.dev.

Submitted URL: https://jameshayashiop.pages.dev/yywm-social-security-withholding-2025-max-bsizu/

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

High‑risk phishing page impersonating Social Security; confirmed scam.

Risk Factors
Brand impersonation of Social Security on an unranked, newly registered domain
Unranked domain (jameshayashiop.pages.dev) with no established reputation
Domain age less than 90 days while mimicking a known government service
Domain age information unavailable

Details

Page Title

Social Security Withholding 2025 Max - James Hayashi O.P

Scan Type

public

Domain Information

Within the developer-focused generic top-level domain (.dev), 'jameshayashiop.pages.dev' is registered with subdomain 'jameshayashiop'. Its registrable label 'pages' stretches across 5 characters containing 2 vowels alongside 3 consonants. Word splitting yields one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jameshayashiop.pages.dev/yywm-social-security-withholding-2025-max-bsizu/

Page Load Overview

127.86s
Total Load Time
40
HTTP Requests
13
Domains
458 KB
Total Size

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.21.11.140United States
AS13335CLOUDFLARENET
2104.26.14.73United States
AS13335CLOUDFLARENET
218.172.112.32United States
AS16509AMAZON-02
2188.114.97.3United States
AS13335CLOUDFLARENET
2142.250.184.246United States
AS15169GOOGLE
2172.67.166.38United States
AS13335CLOUDFLARENET
2216.58.206.74United States
AS15169GOOGLE
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
2188.114.96.3United States
AS13335CLOUDFLARENET
4017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E13293364E814373A5F83D8E6A1B31CE9A5E215CA0386B572FCA0686FD4DF640B715E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:SDZdapSoodST+ZvaD/noM0H//Wmf2htFne4JhGx9yo9:+apRT+9aD/noM0XWmf2htxe4JhGx9yo9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:42660:SMYQkyDjEEC9TokiAiDKARUMACSgNICAGiJYgUQlggFABKMtVEswQE1jAgABBUFJBQBDCAQCB0GIILbBBCGAftUSbgRYkAOK

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:ff0000000000ffff
Perceptual Hash:f050ae87a9990fb3
Difference Hash:8ca4989195e24d6d
Wavelet Hash:ff4040584030ffff
Color Hash:#e0946c

Scan History

Scan history not available

Unable to load historical scan data