Security Scan Report: sethhatfieldm.pages.dev

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Submitted: Dec 25, 2025, 5:20:47 PMCompleted: Dec 25, 2025, 5:21:10 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 17 domains to perform 38 HTTP transactions. The main domain is sethhatfieldm.pages.dev and was registered NaN years ago.

Submitted URL: https://sethhatfieldm.pages.dev/zgkci-social-security-changes-2025-iwuuv/

AI Security Verdict

High Risk

Confidence: 92%

7
Risk Score

High‑risk phishing site impersonating Social Security; do not trust.

Risk Factors
Brand impersonation of a government agency on an unrelated domain
Unranked domain presenting official‑looking social security information
Domain age information unavailable

Details

Page Title

Social Security Changes 2025 - Seth M. Hatfield

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(64%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'sethhatfieldm.pages.dev' is registered and includes subdomain 'sethhatfieldm'. The core label 'pages' covers 5 characters with 2 vowels and 3 consonants. Tokenizing the label suggests one word: pages. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sethhatfieldm.pages.dev/zgkci-social-security-changes-2025-iwuuv/

Page Load Overview

7.96s
Total Load Time
46
HTTP Requests
17
Domains
2.8 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:3,724 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service64% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
64%
news/blog
35%
adult content
33%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.97.3United States
AS13335CLOUDFLARENET
4172.240.127.242United States
4150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
4104.21.18.46United States
AS13335CLOUDFLARENET
4104.20.23.96Unknown
418.171.209.12City of London, England, United Kingdom
AS16509AMAZON-02
489.34.18.77United States
AS201682Liquid Web B.V.
418.66.102.11United States
AS16509AMAZON-02
4216.58.206.86Unknown
4188.114.96.3United States
AS13335CLOUDFLARENET
4610--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11053E8A350D521365D1B9BD193CC661CE9399E62CA024E5E73BD24089FC2FF913A722F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:nMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIQDHaNZapQT9ankURjIu+9EqzdJgm4qc:M3KTowzDnOZuJ9DyyM

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64069:pBAYiBCtUBnLAGWPQKoQYjEhUECMAgkgJkjyAAhRKQCCiqRcWjEAUohIIBgmG+MSIpQACiiWC0ChcAAhyuEypAPCDAM2UeRm

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:000000ffff878787
Perceptual Hash:b64136e9eb362ac8
Difference Hash:c8f2b44d032f2d2d
Wavelet Hash:2c1000ffff878787
Color Hash:#ac536f

Scan History

Scan history not available

Unable to load historical scan data