Security Scan Report: jaxondscully.pages.dev

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Submitted: Nov 24, 2025, 1:45:10 AMCompleted: Nov 24, 2025, 1:47:29 AMpubliccompleted
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Summary

This website contacted 55 IPs in 4 countries across 20 domains to perform 44 HTTP transactions. The main domain is jaxondscully.pages.dev.

Submitted URL: https://jaxondscully.pages.dev/rrlhw-social-security-tax-limit-2025-married-aaryu/

AI Security Verdict

Low Risk

Confidence: 82%

1
Risk Score

The site appears legitimate with no evident malicious activity.

Safety Factors
Domain hosts informational content about Social Security tax limits
No forms collecting sensitive data such as passwords, payment details, or personal identifiers
Domain age information unavailable

Details

Page Title

Social Security Tax Limit 2025 Married - Jaxon D. Scully

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(86%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'jaxondscully.pages.dev' is registered with subdomain 'jaxondscully'. The second-level label 'pages' is 5 characters long split between two vowels and 3 consonants. Breaking it apart gives one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://jaxondscully.pages.dev/rrlhw-social-security-tax-limit-2025-married-aaryu/

Page Load Overview

1.23s
Total Load Time
44
HTTP Requests
20
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:3,655 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service86% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
86%
healthcare medical
77%
adult content
75%
blog personal website
67%
finance banking
67%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
19172.66.44.163United States
AS13335CLOUDFLARENET
4104.21.69.200United States
AS13335CLOUDFLARENET
4142.250.186.131United States
AS15169GOOGLE
2172.66.136.209United States
AS13335CLOUDFLARENET
1142.250.186.74United States
AS15169GOOGLE
1162.241.226.76Phoenix, Arizona, United States
AS46606UNIFIEDLAYER-AS-1
1136.243.106.228Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
1108.138.26.64United States
AS16509AMAZON-02
1146.75.122.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
168.66.226.93United States
AS55293A2HOSTING
4455--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D873FAB351E515325D1B97E293CC7A1CB9399A12C9030EA973BD5108AFC5FF612A322F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:iMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptICTQPGapxT+nDO34rdtTeSyFWtYbRyOv:YTTmK7JIaUfCWK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80703:AWOdE+AQMg0RCSXRQIE60wYChgGBANoFDCCAD4jIEiAdWARuGgAYDQHBgcgEG4EggFMVFA8IoAbWCiXAoSQaIhNKqIEiZTQJ

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:9fffef8fdf8383eb
Perceptual Hash:b8ce6330cd38c3c7
Difference Hash:3060193a321b1f0b
Wavelet Hash:9e7f8f8b83818383
Color Hash:#2da6d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data