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Security Scan Report: soniawcollinsm.pages.dev

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Submitted: Nov 14, 2025, 10:43:21 PMCompleted: Nov 14, 2025, 10:43:59 PMpubliccompleted
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Summary

This website contacted 41 IPs in 3 countries across 14 domains to perform 39 HTTP transactions. The main domain is soniawcollinsm.pages.dev.

Submitted URL: https://soniawcollinsm.pages.dev/yhgwr-social-security-2025-increase-cijoa/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

Site impersonates Social Security on an unranked, likely new domain – high‑risk phishing.

Risk Factors
Brand impersonation (Social Security) on a non‑official domain
UNRANKED domain presenting a trusted brand
New/unknown domain age
Domain age information unavailable

Details

Page Title

Social Security 2025 Increase - Sonia W Collins

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(34%)

Domain Information

The domain name 'soniawcollinsm.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'soniawcollinsm'. The registrable portion 'pages' spans 5 characters with 2 vowels and three consonants. It segments into 1 word: pages. The median word length lands at five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://soniawcollinsm.pages.dev/yhgwr-social-security-2025-increase-cijoa/

Page Load Overview

5.97s
Total Load Time
39
HTTP Requests
14
Domains
1.7 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:3,653 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service34% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
34%
news/blog
30%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39188.114.97.3United States
AS13335CLOUDFLARENET
0142.250.185.227United States
AS15169GOOGLE
0104.21.18.46United States
AS13335CLOUDFLARENET
0142.250.186.163United States
AS15169GOOGLE
087.248.119.252United Kingdom
AS203220Yahoo-UK Limited
0173.236.141.238United States
AS26347DREAMHOST-AS
0172.66.134.99United States
AS13335CLOUDFLARENET
0104.21.93.218United States
AS13335CLOUDFLARENET
0172.67.153.231United States
AS13335CLOUDFLARENET
0150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
3941--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15843F622C5F82C63291E8389A672732DA987F107D9030A6971FCB5545B83DBB447FACD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:FnoTmap7bXT+HgRDiuIUO8DwJ8JMpfy5Ln5wm:kNXTWgRD4m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:56100:jMAkAULJIAIBABmm9gGRRCehJQIkEwsjBAcFJKgEczArSEB6jggMiAQIUEI8gANr2BZAOEwoBR3ASQKERsAGkgASRO0HA4FO

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:0000000000ffffd7
Perceptual Hash:be49b6c9343ac934
Difference Hash:a101710005020d2d
Wavelet Hash:00000000ffffffff
Color Hash:#d27992

Other Hashes

Crop Resistant:a101710005020d2d,5454546cacbc5451,a101010171210101,732f1d33377e7f7b,0169697969696159

Scan History

Scan history not available

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