ScanMalware.com

Security Scan Report: timothykitamuraa.pages.dev

Submitted: Apr 2, 2026, 7:48:12 AMCompleted: Apr 2, 2026, 7:49:26 AMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 16 domains to perform 35 HTTP transactions. The main domain is timothykitamuraa.pages.dev and was registered NaN years ago.

Submitted URL: https://timothykitamuraa.pages.dev/dszgf-social-security-2025-benefits-calendar-eddmsnd/

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

Informational Social Security page on a new subdomain; no credential collection but obfuscated scripts and external POST raise moderate concerns.

Risk Factors
Critical JavaScript obfuscation score suggests heavily hidden code
Cross‑origin POST to an unrelated external domain
Subdomain on a free hosting platform (.pages.dev) with unknown creation date
Domain is unranked in Cisco Umbrella (not in top 1 M)
Garbled OCR text indicates low‑quality content that may be scraped
Safety Factors
No password, email, or payment fields collected
No known malicious Indicators of Compromise or YARA malware patterns
Page is labeled as an article (og:type=article) rather than a login or payment portal
Content appears to be informational about Social Security benefits
Domain age information unavailable

Details

Page Title

Social Security 2025 Benefits Calendar - Timothy A. Kitamura

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(74%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'timothykitamuraa.pages.dev' is registered, featuring subdomain 'timothykitamuraa'. The second-level label 'pages' is 5 characters long holding two vowels versus 3 consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://timothykitamuraa.pages.dev/dszgf-social-security-2025-benefits-calendar-eddmsnd/

Page Load Overview

2.70s
Total Load Time
36
HTTP Requests
17
Domains
1.4 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:3,519 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical74% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
74%
government public service
55%
corporate
35%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.66.40.135United States
AS13335Cloudflare, Inc.
2104.26.4.18United States
AS13335Cloudflare, Inc.
2192.178.183.94United States
AS15169Google LLC
2104.21.62.69United States
AS13335Cloudflare, Inc.
2172.240.108.84Netherlands
AS7979
246.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
2142.250.201.74United States
AS15169Google LLC
2150.171.27.10United States
AS8075Microsoft Corporation
2192.178.183.132United States
AS15169Google LLC
2104.21.18.46United States
AS13335Cloudflare, Inc.
3616--

Detected Technologies10

WordPressv6.4.3
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

T152130B2665DD21332F0B83B8F551BA09EBA5D714C6038E6939F8B548DBD0EFA007329D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:0MZdapNPTJZ/cJgl3eWv66Et+ghJyMN9Vs:08apVTJ9cJgl3eWbEt+ghJyMN9O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44887:Aowt50MOFecAAELSgARgEEqaFKA8gY9BSQsEoi6CAhG4MAOxWLBzApQLwg2FEFYiFBCwdWwYTEQYWQQHHA5DQwCAhAOlwCEk

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:dfcfcb838387cf8f
Perceptual Hash:b861c6ce2e4e4d69
Difference Hash:2a1a1b2b0b3f3c3c
Wavelet Hash:df8783838383878f
Color Hash:#40bf6a

Other Hashes

Crop Resistant:2a1a1b2b0b3f3c3c

Scan History

Scan history not available

Unable to load historical scan data