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Security Scan Report: jamesnakagawabp.pages.dev

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Submitted: Jan 12, 2026, 2:24:27 PMCompleted: Jan 12, 2026, 2:26:08 PMpubliccompleted
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Summary

This website contacted 15 IPs in 1 country across 15 domains to perform 42 HTTP transactions. The main domain is jamesnakagawabp.pages.dev and was registered NaN years ago.

Submitted URL: https://jamesnakagawabp.pages.dev/wmiv-social-security-payments-for-january-2025-calendar-ltuau/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
Well‑established domain (>5 years)
Absence of forms collecting sensitive data
No malicious Indicators of Compromise
No brand impersonation or trademark misuse
No external or suspicious redirects
Domain age information unavailable

Details

Page Title

Social Security Payments For January 2025 Calendar - James Nakagawa B.P

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(71%)

Domain Information

Domain 'jamesnakagawabp.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'jamesnakagawabp'. Its registrable label 'pages' stretches across 5 characters with 2 vowels and three consonants. Tokenizing the label suggests one word: pages. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jamesnakagawabp.pages.dev/wmiv-social-security-payments-for-january-2025-calendar-ltuau/

Page Load Overview

28.91s
Total Load Time
42
HTTP Requests
16
Domains
1.5 MB
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:3,156 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
71%
healthcare medical
61%
finance banking
59%
news media journalism
51%
adult content
45%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14141.193.213.11United States
AS209242Cloudflare London, LLC
2172.67.166.38United States
AS13335CLOUDFLARENET
245.223.102.78United States
AS19551INCAPSULA
2142.250.185.193United States
AS15169GOOGLE
2172.66.44.182United States
AS13335CLOUDFLARENET
2104.26.5.18United States
AS19551
2142.250.186.97United States
AS15169GOOGLE
2142.250.186.138United States
AS15169GOOGLE
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2104.20.23.96United States
AS13335CLOUDFLARENET
4215--

Detected Technologies10

WordPressv6.7.1
100%
Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
JQueryv3.7.1
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130331A3265E924332B5ED3F8D1607719EEA1960BCA031E65B5FCA2985FC0DF640E326D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:AKeapkT99uVfnVfJ7k/hXD/tirrjwJJkEmxOje:AgaTjWuT/IH0JJkEmxOje

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54762:AmAYxzAYMA7h8AwO+ApsPAVGCAAKQBDA6hAooCwKiQWJghEhEIggGQ6YjOYYTMkABClYD8QnKCTAMIRQEOEcikGUHPoRyDgI

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:818181ffff9fbfef
Perceptual Hash:bf6a6b1dc09594e0
Difference Hash:2b2b55401a366e4e
Wavelet Hash:010181ffff878787
Color Hash:#b5bf40

Other Hashes

Crop Resistant:2b2b55401a366e4e,20176968dd4907f1,ed7bf66cdb37eed8

Scan History

Scan history not available

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