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Security Scan Report: tylerisabelj.pages.dev

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Submitted: Jan 1, 2026, 6:39:12 PMCompleted: Jan 1, 2026, 6:40:20 PMpubliccompleted
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Summary

This website contacted 13 IPs in 1 country across 14 domains to perform 25 HTTP transactions. The main domain is tylerisabelj.pages.dev and was registered NaN years ago.

Submitted URL: https://tylerisabelj.pages.dev/lbvyj-social-security-payments-2025-ouwya/

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

High‑risk phishing site impersonating Social Security; primary domain flagged malicious.

Risk Factors
Primary domain pages.dev flagged as malicious
Brand impersonation of Social Security on an untrusted domain
Unranked domain presenting government‑related content
Domain age information unavailable

Details

Page Title

Social Security Payments 2025 - Tyler Isabel J

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(36%)

Domain Information

The domain name 'tylerisabelj.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'tylerisabelj'. The registrable portion 'pages' spans 5 characters containing 2 vowels alongside 3 consonants. Tokenizing the label suggests one word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tylerisabelj.pages.dev/lbvyj-social-security-payments-2025-ouwya/

Page Load Overview

2.39s
Total Load Time
30
HTTP Requests
14
Domains
774 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:3,035 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service36% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
36%
corporate
35%
adult content
34%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6209.59.168.98United States
AS32244LIQUIDWEB
2172.67.186.237United States
AS13335CLOUDFLARENET
2104.20.23.96United States
AS13335CLOUDFLARENET
2172.66.43.121United States
AS13335CLOUDFLARENET
2172.66.40.135United StatesUnknown
2188.114.97.3United States
AS13335CLOUDFLARENET
2150.171.27.10United StatesUnknown
2172.67.166.38United StatesUnknown
2172.66.169.241United StatesUnknown
2172.67.71.34United StatesUnknown
3013--

Detected Technologies12

WordPressv6.4.3
100%
Open-Graph-Protocolvwebsite
100%
MetaGenerator
100%
JQueryv3.7.1
100%
Bootstrapv6.4.3
100%
PHP
50%
OWL Carousel
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

T15D43B9A7509521366D1B97A583CD271CE9389E328E034E6A72BE20185FC1FF513D722F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3MVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIxapjwF46CYmXIk1/EmrhRxtDFyOe:85uextDFyOe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55687:KDjYkA9BDNiYZg4AXAEATlAcAhAuECDgcBwpUAsX9GB4BAYXBEsiuAiZxKIIQAohCIOOyWBCAFFwsDFPAAAwYcgcALkCAJCX

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:0000ffffffcfc7cf
Perceptual Hash:b8453212c7e7b8e9
Difference Hash:8c1333233b3f2b1f
Wavelet Hash:0000d9fbff878787
Color Hash:#d279d1

Other Hashes

Crop Resistant:8c1333233b3f2b1f,0101819c9c835001

Scan History

Scan history not available

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