Security Scan Report: www.distractify.com

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Submitted: Oct 9, 2025, 11:07:38 PMCompleted: Oct 9, 2025, 11:08:34 PMpubliccompleted
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Summary

This website contacted 115 IPs in 2 countries across 21 domains to perform 69 HTTP transactions. The main domain is distractify.com and was registered NaN years ago.

Submitted URL: https://www.distractify.com/p/lukas-gage-mental-health

The Cisco Umbrella rank of the primary domain is #302,476 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Inside Actor Lukas Gage’s Mental Health Journey

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(68%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.distractify.com' is registered with subdomain 'www'. The registrable portion 'distractify' spans 11 characters split between 3 vowels and eight consonants. Tokenizing the label suggests three words: distract, if, y. Average segment length settles at 2 characters. Most frequently, 'if' shows up in Spanish. It also appears in English and Chinese (Pinyin) contexts.

Screenshot

Security scan screenshot of https://www.distractify.com/p/lukas-gage-mental-health

Page Load Overview

5.00s
Total Load Time
69
HTTP Requests
21
Domains
863 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:4,678 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media68% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
68%
news/blog
35%
corporate
35%
healthcare medical
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
69185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
0172.64.146.226United States
AS13335CLOUDFLARENET
0108.138.7.75United States
AS16509AMAZON-02
0104.18.0.22United States
AS13335CLOUDFLARENET
018.245.46.75United States
AS16509AMAZON-02
034.95.69.49Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
013.32.99.43New York, New York, United States
AS16509AMAZON-02
0212.102.56.179Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
0146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113FASTLY
013.32.121.110New York, New York, United States
AS16509AMAZON-02
69115--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E8B34C771E6066BC036B88C5E2A43759737A901FE3865C94B5FD461DCBCBE9A1023B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DfG0TG1G3G1G5WbaDaX+3+76sYpXFmY+OXOKikOKif:Zeum0CsuWPaOgTf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116397:iBGK/cYAwHOJgCyEFgG0DBFHXTBJQgBHAAIHFAHoBEAkS0RQ8gEQEWwQoRIC0CgDAhzuACYiRBEjFPuMFYjHAgBZiK0AKAkh

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:00183c3c3c3c1800
Perceptual Hash:981b67ce33668999
Difference Hash:4e3871317171211e
Wavelet Hash:003c3c3c3c3c3c00
Color Hash:#6cc9e0

Other Hashes

Scan History

Scan history not available

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