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Security Scan Report: williamleel.pages.dev

Submitted: Dec 20, 2025, 8:11:14 AMCompleted: Dec 20, 2025, 8:11:48 AMpubliccompleted
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Summary

This website contacted 18 IPs in 1 country across 18 domains to perform 39 HTTP transactions. The main domain is williamleel.pages.dev and was registered NaN years ago.

Submitted URL: https://williamleel.pages.dev/fdupv-social-security-benefits-2025-increase-charts-ufvyc/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain with a history over 5 years
No suspicious forms or data collection
No known malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase Charts - William L. Lee

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(78%)

Domain Information

Domain 'williamleel.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'williamleel'. Count 5 characters in 'pages' split between 2 vowels and 3 consonants. Breaking it apart gives one word: pages. Median word length comes out to 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://williamleel.pages.dev/fdupv-social-security-benefits-2025-increase-charts-ufvyc/

Page Load Overview

18.36s
Total Load Time
39
HTTP Requests
18
Domains
936 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:3,745 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
78%
blog personal website
64%
news media journalism
57%
healthcare medical
57%
documentation technical
57%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.26.3.214United States
AS13335CLOUDFLARENET
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2142.251.141.67United States
AS15169GOOGLE
2172.66.169.241United States
AS13335CLOUDFLARENET
2172.240.108.76United States
AS7979SERVERS-COM
2142.250.186.138United States
AS15169GOOGLE
2104.26.14.73United States
AS13335CLOUDFLARENET
2150.171.27.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2104.26.1.31United States
AS13335CLOUDFLARENET
213.248.213.45United States
AS16509AMAZON-02
3918--

Detected Technologies8

WordPressv6.5.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv5.2.2
100%
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

T1DE03193251DD147B361F93E99592332DA4AAE630DA034B7232F972784B85DF601BB60F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:IyhJPvZdapF4kGjbua7ijhj2wyeNQk+ULOkles/BebY0ZMZXj:IivapCjbua7ijhj2wyeNQk+8OklespeA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40350:yEAI6AGRRDmYcWgRORoUgLUWkKFJHUooBEQIiiADEVbwoaAfw4DAKKUzfycBCBApA0WkgcCEg5KBENACIItwUKYYoPIULEAD

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:00ff0000ffffffff
Perceptual Hash:ab282de52d2d2d2d
Difference Hash:cb8571750180c64b
Wavelet Hash:00c10000ffffffa7
Color Hash:#c587b0

Other Hashes

Crop Resistant:cb8571750180c64b,0101010101010101

Scan History

Scan history not available

Unable to load historical scan data