ScanMalware.com

Security Scan Report: hubertcsommervillec.pages.dev

Submitted: Apr 14, 2026, 7:10:23 AMCompleted: Apr 14, 2026, 7:11:34 AMpubliccompleted
Loading additional data...

Summary

This website contacted 15 IPs in 3 countries across 15 domains to perform 1 HTTP transaction. The main domain is hubertcsommervillec.pages.dev and was registered NaN years ago.

Submitted URL: https://hubertcsommervillec.pages.dev/ztuqd-social-security-limit-2025-increase-update-unawz

AI Security Verdict

Low Risk

Confidence: 80%

3
Risk Score

The site shows low risk: no malicious forms or indicators, but unknown subdomain age and unranked domain warrant caution.

Risk Factors
Unknown subdomain age (could be newly created)
Domain not listed in Cisco Umbrella top 1M (unranked)
High JavaScript obfuscation score (potentially suspicious but not confirmed malicious)
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No detected JavaScript malware or credential exfiltration
No network IDS alerts
Domain age information unavailable

Details

Page Title

Social Security Limit 2025 Increase Update - Hubert C Sommerville

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(55%)

Domain Information

You're looking at domain 'hubertcsommervillec.pages.dev' on the developer-focused generic top-level domain (.dev) and includes subdomain 'hubertcsommervillec'. Its registrable label 'pages' stretches across 5 characters split between 2 vowels and three consonants. Breaking it apart gives one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hubertcsommervillec.pages.dev/ztuqd-social-security-limit-2025-increase-update-unawz

Page Load Overview

2.36s
Total Load Time
34
HTTP Requests
16
Domains
670 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:2,477 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
55%
adult content
38%
corporate
35%
blog personal website
29%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2172.66.1.220France
AS2635Automattic, Inc
2104.21.18.46United States
AS13335Cloudflare, Inc.
218.66.122.122United States
AS16509Amazon.com, Inc.
231.214.178.55Unknown
AS8560IONOS SE
2142.251.14.94United States
AS15169Google LLC
2142.251.14.95Unknown
AS13335Cloudflare, Inc.
2176.9.114.118Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
2104.196.233.173The Dalles, Oregon, United States
AS396982Google LLC
3415--

Detected Technologies10

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
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

T174E2F93261B544772A5F83EDC5957328BCA8E600C6029BB271FCA2689FD8DF701B761D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:9HDFTQMutsC0kZdqZUaAVkW11ghp+Zd/l/dwvOQZbuLremB0/X7GqInE+OZiex:D2FZdap61CT+Z/3emB0/Xqq6E+OZXx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33100:AEDFNANDMYPIMCqxE2AwiBJSBbDgAAEQSIbBsjBQZAhQBAAbRMRcACIhcrDGBQeGS4BnNsEZAIAACmwCh2IOFOBcIiPAYBAF

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:ffffffffcf838381
Perceptual Hash:bdc639c671c66192
Difference Hash:4c1a2f2f1b2b3313
Wavelet Hash:e7cfc7c7c3818181
Color Hash:#a26ce0

Other Hashes

Crop Resistant:4c1a2f2f1b2b3313,c37138dc0771794c

Scan History

Scan history not available

Unable to load historical scan data