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Security Scan Report: charlesjlalh.pages.dev

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Submitted: Nov 24, 2025, 12:48:29 AMCompleted: Nov 24, 2025, 12:53:04 AMpubliccompleted
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Summary

This website contacted 58 IPs in 3 countries across 18 domains to perform 59 HTTP transactions. The main domain is charlesjlalh.pages.dev.

Submitted URL: https://charlesjlalh.pages.dev/yqipa-social-security-benefits-2025-increase-tomcat-irzdp/

AI Security Verdict

Low Risk

Confidence: 80%

1
Risk Score

Site shows no malicious activity; low risk.

Safety Factors
No suspicious indicators detected
Domain hosts standard informational content
Domain age information unavailable

Details

Page Title

Social Security Benefits 2025 Increase Tomcat - Charles J Lal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(43%)

Domain Information

The domain name 'charlesjlalh.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'charlesjlalh'. The second-level label 'pages' is 5 characters long holding 2 vowels versus three consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://charlesjlalh.pages.dev/yqipa-social-security-benefits-2025-increase-tomcat-irzdp/

Page Load Overview

30.49s
Total Load Time
59
HTTP Requests
18
Domains
4.0 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:3,188 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
43%
news media journalism
33%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
21188.114.96.3United States
AS13335CLOUDFLARENET
4142.250.186.131United States
AS15169GOOGLE
4104.21.18.46United States
AS13335CLOUDFLARENET
3172.67.74.63United States
AS13335CLOUDFLARENET
391.108.107.115Mumbai, Maharashtra, India
AS47583Hostinger International Limited
3188.114.97.3United States
AS13335CLOUDFLARENET
323.32.238.168Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.26.0.222United States
AS13335CLOUDFLARENET
223.36.162.153Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.66.136.209United States
AS13335CLOUDFLARENET
5958--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160031A3254E910767A1E53D8C5A1770CD999E21ACB039E6A32FC707CAF90DFA41B724E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:y8KvLZdapz8/YT+ZaJYjzW7nGunmX4blJpc6xEDV:yfapvT+hjzWTGunmXMlJpc6xEDV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38667:62rFAIdBGmPNQDmYByAhgBfhIgXQhHAMBATWCAABVShGwJRSBaUQkAgmYhZKCRTxUEIawSA6BFJRisEOg3TUmIByNESIQgAz

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:efefff00003ccbc3
Perceptual Hash:b5c7bfc330888aac
Difference Hash:0c0c558e8e60362f
Wavelet Hash:ffffe7000000cfc3
Color Hash:#9ad279

Other Hashes

Crop Resistant:0c0c558e8e60362f

Scan History

Scan history not available

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