Security Scan Report: hayleyjbaudinet.pages.dev

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Submitted: Nov 26, 2025, 9:16:01 AMCompleted: Nov 26, 2025, 9:18:11 AMpubliccompleted
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Summary

This website contacted 47 IPs in 3 countries across 13 domains to perform 38 HTTP transactions. The main domain is hayleyjbaudinet.pages.dev.

Submitted URL: https://hayleyjbaudinet.pages.dev/zgscf-social-security-2025-increase-yhhby/

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 of a government agency on a non‑official domain
Unranked, low‑reputation domain
Likely newly registered domain
Domain age information unavailable

Details

Page Title

Social Security 2025 Increase - Hayley J. Baudinet

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news/blog

(30%)

Domain Information

The domain 'hayleyjbaudinet.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'hayleyjbaudinet'. The core label 'pages' covers 5 characters with two vowels and three consonants. Word splitting yields one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://hayleyjbaudinet.pages.dev/zgscf-social-security-2025-increase-yhhby/

Page Load Overview

3.05s
Total Load Time
38
HTTP Requests
13
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:3,659 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog30% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news/blog
30%
other
29%
legitimate website
25%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
38172.66.47.189United States
AS13335CLOUDFLARENET
20172.66.44.67United States
AS13335CLOUDFLARENET
4104.21.69.200United States
AS13335CLOUDFLARENET
2142.250.184.195United States
AS15169GOOGLE
2150.171.28.10United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
123.55.163.172Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1104.21.93.218United States
AS13335CLOUDFLARENET
1172.67.194.192United States
AS13335CLOUDFLARENET
1104.21.4.54United States
AS13335CLOUDFLARENET
1173.236.141.238United States
AS26347DREAMHOST-AS
3847--

Detected Technologies5

WordPressv6.6.1
100%
JQueryv3.7.1
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181430822D5F82C63292F8285A672732DAD57B50BC5030A6A71FCB1145B83DBB447FACD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:r0NPuap7bXT+HgRDFu8UO8DwJItgldG7v1Zm:sNXTWgRDwm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55719:ASAI54NjEAQknhEEIHYv8EHxycggUxOCAE1twSBE1iICAgBEqIIaoNvQgRUUAQoJByyAKAISAQJQEA4DBSgobBYpCEDuXpKJ

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:d1d90101013d3d01
Perceptual Hash:aafcdccc348b0333
Difference Hash:b5b54d3105697105
Wavelet Hash:d1ff818181bdbd81
Color Hash:#43862d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data