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Security Scan Report: fklifemay.pages.dev

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Submitted: Nov 25, 2025, 9:35:43 PMCompleted: Nov 25, 2025, 9:40:12 PMpubliccompleted
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Summary

This website contacted 49 IPs in 0 countries across 14 domains to perform 36 HTTP transactions. The main domain is fklifemay.pages.dev.

Submitted URL: https://fklifemay.pages.dev/posts/oita-social-security-benefits-formula-2024

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Social Security Benefits Formula 2024 - Madeleine Heyne

Scan Type

public

Language

๐Ÿ‡บ๐Ÿ‡ธ

English

(80% confidence)

Category

other

(66%)

Domain Information

The domain 'fklifemay.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'fklifemay'. The registrable portion 'pages' spans 5 characters holding two vowels versus three consonants. Breaking it apart gives 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fklifemay.pages.dev/posts/oita-social-security-benefits-formula-2024

Page Load Overview

1.15s
Total Load Time
36
HTTP Requests
14
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

๐Ÿ‡บ๐Ÿ‡ธEnglish
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:4,461 chars
Detector Agreement:100%

Website Classification

Primary Category

other66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

other
66%
legitimate website
43%
corporate
35%
malicious
34%
news/blog
30%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18188.114.97.3UnknownUnknown
3192.0.77.2UnknownUnknown
2142.250.186.131UnknownUnknown
2150.171.28.10UnknownUnknown
2146.75.120.84UnknownUnknown
1104.20.10.41UnknownUnknown
1136.243.171.217UnknownUnknown
1159.89.240.52UnknownUnknown
1141.193.213.21UnknownUnknown
145.40.155.190UnknownUnknown
3649--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19EC21A271A8D2336254223C46A26BB4D863BCC39DF53CC6577E9790E6BC1DE4C16718E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:7+MfM2MbErxSMC8z89AVwGYZv/xpjyoLKbqZrGgDag46OQql1gXo:7+MfM2MtMC8z89AVwGYnpjyAKbOGgDaz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26031:GDhAJAZAwCtghAIcEQghUKbAmUgl4ChQgCCSIDVVgmGgAeOElAh2FuBBAQw5RAGtVegMQEQKCDAwgEmKkYBXCgkFfCKQQqBs

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:ff38000000ffffff
Perceptual Hash:82429dbd2f2f9417
Difference Hash:64d0c1c1e92a2b72
Wavelet Hash:ff00000000ffffff
Color Hash:#402dd2

Other Hashes

Crop Resistant:64d0c1c1e92a2b72,219191b1e224628e,e0d8d8e0c4c1e1cc

Scan History

Scan history not available

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