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Security Scan Report: baileyloyaus.pages.dev

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Submitted: Feb 2, 2026, 10:40:09 PMCompleted: Feb 2, 2026, 10:41:57 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 15 domains to perform 40 HTTP transactions. The main domain is baileyloyaus.pages.dev and was registered NaN years ago.

Submitted URL: https://baileyloyaus.pages.dev/bdbvu-social-security-payment-schedule-2025-january-sriqv/

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Informational page on an unverified subdomain; moderate risk, verify with official source.

Risk Factors
Unknown domain age (potentially new)
Subdomain on hosting platform with unknown creation date
Brand mention of a government agency (Social Security) on an untrusted domain
Safety Factors
No forms collecting passwords, personal data, or payment information
No malicious Indicators of Compromise matches found
Served over HTTPS
No external links or redirects to suspicious sites
Domain age information unavailable

Details

Page Title

Social Security Payment Schedule 2025 January - Bailey S. Loyau

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(60%)

Domain Information

The domain 'baileyloyaus.pages.dev' uses the developer-focused generic top-level domain (.dev) with subdomain 'baileyloyaus'. The registrable portion 'pages' spans 5 characters with two vowels and 3 consonants. Segmentation suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://baileyloyaus.pages.dev/bdbvu-social-security-payment-schedule-2025-january-sriqv/

Page Load Overview

40.02s
Total Load Time
40
HTTP Requests
16
Domains
997 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:2,895 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
60%
adult content
38%
corporate
35%
healthcare medical
28%
finance banking
27%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.67.180.98United States
AS13335Cloudflare, Inc.
3188.114.97.3United States
AS13335Cloudflare, Inc.
3104.26.4.18United States
AS8075
3216.58.206.54Unknown
AS39572
3142.250.185.161United States
AS15169Google LLC
346.229.172.197Netherlands
AS39572DataWeb Global Group B.V.
3173.212.192.14Lauterbourg, Grand Est, France
AS51167Contabo GmbH
3150.171.27.10United States
AS8075Microsoft Corporation
3188.114.96.3United States
AS13335Cloudflare, Inc.
3172.240.127.242UnknownUnknown
4013--

Detected Technologies10

WordPressv6.5.3
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

T188F20A33A09D10773E4F93ECD0A27368B9AAAA30C9035BB671F571649F84DF641A711E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:YuIZdapi42EEoaZF3Iql/+9cjUbQUZjzQFZXX:eapZ2EEoaZF3Iql/scjUbQUZjzQFVX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36614:AQUqdYoAOQIEGQBAqVADKAGh7ANoCQVAAiAYghqwENa0GwQACnFJytAIUAWFZDDKpGhQipgEpZGCVKI0ADoIDLSgYnshhlAA

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:8181878fff878787
Perceptual Hash:be6b7a6dc1341268
Difference Hash:0b2b2f3e332f2f2f
Wavelet Hash:8181878ffb878787
Color Hash:#d29b2d

Other Hashes

Crop Resistant:0b2b2f3e332f2f2f,0000000040404080

Scan History

Scan history not available

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