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Security Scan Report: michaeljsheaf.pages.dev

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Submitted: Jan 18, 2026, 7:52:15 AMCompleted: Jan 18, 2026, 7:53:47 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 13 domains to perform 1 HTTP transaction. The main domain is michaeljsheaf.pages.dev and was registered NaN years ago.

Submitted URL: https://michaeljsheaf.pages.dev/dbwga-new-social-security-benefits-2025-increase-in-jsahn/

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

Legitimate informational page with no security concerns.

Safety Factors
Established domain (>5 years)
No forms collecting sensitive data
No known malicious Indicators of Compromise
Informational content with author attribution (Michael J Shea)
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase In - Michael J Shea

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain name 'michaeljsheaf.pages.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'michaeljsheaf'. The core label 'pages' covers 5 characters split between 2 vowels and three consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://michaeljsheaf.pages.dev/dbwga-new-social-security-benefits-2025-increase-in-jsahn/

Page Load Overview

21.24s
Total Load Time
35
HTTP Requests
13
Domains
734 KB
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:2,968 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
government public service
31%

Detected Features

Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13104.18.38.162United States
AS15169
218.66.102.103United States
AS54113
2192.0.66.204San Francisco, California, United States
AS2635AUTOMATTIC
2188.114.96.3United States
AS13335CLOUDFLARENET
2188.114.97.3United States
AS13335CLOUDFLARENET
2104.21.18.46United States
AS13335CLOUDFLARENET
2142.250.184.246United StatesUnknown
2172.66.47.4United States
AS13335CLOUDFLARENET
2104.26.10.116United StatesUnknown
2146.75.121.91United StatesUnknown
3512--

Detected Technologies10

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv4.5.0
100%
PHP
50%
MySQL
50%
HTTP/3
40%
Cloudflare Bot Management
40%
Cloudflare
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186F2093291E915777A4F83D889917318A9A8E625CB034F7232F972789FC5CF601B720E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:YTmONuXsC3ZdqZUaAekWVgh//l/WBgiVpDbC+ThbO55Q7EtLqx6mlsouMQxK1HT8:WUjZdapNiuE5qx6mlbuMQxK1HTqkZW

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36273:yUQIYkMKiGjMoQK6DpiPAEBKhKFuGOYRqA+JCDACAFKoyAiAlTQNULYRCAIoECQvfBMAYGDAURaIENSWVVlTGEABNI2SXwWg

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:000000001fffffff
Perceptual Hash:be43bcf8603cc398
Difference Hash:b171f11329003e3f
Wavelet Hash:00000000ffffffff
Color Hash:#7f2dd2

Other Hashes

Crop Resistant:b171f11329003e3f,b1793b71f12b7373,058155d4a8b54d85

Scan History

Scan history not available

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