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Security Scan Report: fanniejthomask.pages.dev

Submitted: Nov 18, 2025, 3:18:00 AMCompleted: Nov 18, 2025, 3:21:22 AMpubliccompleted
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Summary

This website contacted 4 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is fanniejthomask.pages.dev.

Submitted URL: https://fanniejthomask.pages.dev/vogyn-social-security-max-2025-income-fqpcs/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No malicious Indicators of Compromise
No forms collecting sensitive data
Page does not impersonate any known brand
Domain age information unavailable

Details

Page Title

Social Security Max 2025 Income - Fannie J Thomas

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(78%)

Domain Information

The domain name 'fanniejthomask.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'fanniejthomask'. The core label 'pages' covers 5 characters containing 2 vowels alongside three consonants. Tokenizing the label suggests 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://fanniejthomask.pages.dev/vogyn-social-security-max-2025-income-fqpcs/

Page Load Overview

30.12s
Total Load Time
3
HTTP Requests
1
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
Text Length:768 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software78% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
78%
documentation technical
55%
adult content
43%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.66.44.108United States
AS13335CLOUDFLARENET
0172.66.47.148United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2f94United States
AS13335CLOUDFLARENET
02606:4700:310c::ac42:2c6cUnited States
AS13335CLOUDFLARENET
34--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CA03093254AD14373D1F83DD90953319E9EDA529CA038A7636FD22289FC5EF600BBA1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:guZdapNr4cc3vxiMhI7fo2/IrUTU0TGrdASvUKZi:Rapd4biMhI7fo1rUTU0TGrdASvUK4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39436:hSRGSwD4AMgJwArQSCGtAZrwxZqQJoYgD6DIkCoOA34PCKCOAxYquoMRgiMURAhAACZAViQr0AJIgNaA4YCwO4AhgINCWAc0

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:ffffffff83878787
Perceptual Hash:b4c9c9369cc6c336
Difference Hash:2e3b2e3e2f2e2f2f
Wavelet Hash:df8b878f83838383
Color Hash:#b487c5

Scan History

Scan history not available

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