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Security Scan Report: arlenarwyatte.pages.dev

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Submitted: Dec 28, 2025, 11:08:24 AMCompleted: Dec 28, 2025, 11:08:44 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 15 domains to perform 31 HTTP transactions. The main domain is arlenarwyatte.pages.dev and was registered NaN years ago.

Submitted URL: https://arlenarwyatte.pages.dev/bhshi-social-security-income-limit-2025-increase-tggkk/

AI Security Verdict

High Risk

Confidence: 95%

8
Risk Score

Site is flagged as malicious due to primary domain Indicators of Compromise; do not trust.

Risk Factors
Primary domain pages.dev flagged as malicious by Indicators of Compromise
Unranked/low‑reputation domain
Free‑hosting subdomain (pages.dev) commonly used for phishing campaigns
Inaccessible page content (potential hidden malicious code)
Domain age information unavailable

Details

Page Title

Social Security Income Limit 2025 Increase - Arlena R Wyatt

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(58%)

Domain Information

Within the developer-focused generic top-level domain (.dev), 'arlenarwyatte.pages.dev' is registered and includes subdomain 'arlenarwyatte'. Its registrable label 'pages' stretches across 5 characters with two vowels and three consonants. Word splitting yields one word: pages. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arlenarwyatte.pages.dev/bhshi-social-security-income-limit-2025-increase-tggkk/

Page Load Overview

6.89s
Total Load Time
31
HTTP Requests
0
Domains
N/A
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:4,112 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
58%
blog personal website
44%
adult content
41%
healthcare medical
35%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18188.114.96.3United States
AS13335CLOUDFLARENET
2172.66.169.241UnknownUnknown
2176.9.114.118UnknownUnknown
1150.171.28.10UnknownUnknown
1104.198.108.103UnknownUnknown
118.66.147.113UnknownUnknown
1199.60.103.226UnknownUnknown
1108.138.26.115UnknownUnknown
1104.21.18.46UnknownUnknown
118.66.122.19UnknownUnknown
012--

Detected Technologies5

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv1.0.0
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17AF2F732A0AD00363D5F93DD41A57318F9E9A525CA039B6631FC32689BD9FF601BB50E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:wnbZdapNLTWZtty/gA8m/kLk0mVcDTiU7QjIZXX:uap5TWnU/h8Nk0ucDTiU7QjIVX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:34913:UoIgmQWDhggWMDoEZDFw4rFC0htFCOKhokGcfGIqBBbkwMBQCBCHATYJQBKNGBsiVwYECAFuI6yM4WKLDiUVLGAxCMgo5IVz

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:ff0000ffdfebcfcf
Perceptual Hash:b94636b4bcd9c90c
Difference Hash:0c4d731b3e1b1a1a
Wavelet Hash:e70000d9cfcbcbcb
Color Hash:#783a42

Other Hashes

Crop Resistant:0c4d731b3e1b1a1a,48a8d8e4a4584848

Scan History

Scan history not available

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