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Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

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Submitted: May 19, 2026, 5:33:05 PMCompleted: May 19, 2026, 5:34:48 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 14 HTTP transactions. The main domain is dietplancityhugo-yizna5vpb1.edgeone.app and was registered NaN years ago.

Submitted URL: https://dietplancityhugo-yizna5vpb1.edgeone.app/10159-100-best-funny-pick-up-lines-for-girls-and-guys-in-kenya.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

3
Risk Score

Low risk site; no malicious activity detected, but subdomain age is unknown.

Risk Factors
Unknown subdomain age on a hosting platform
High JavaScript obfuscation score (normal for minified code)
Safety Factors
No forms collecting credentials or payments
No malicious Indicators of Compromise
No detected JavaScript malware or credential exfiltration
Page type is an article with no brand claim
Domain age information unavailable

Details

Page Title

100 Best funny pick up lines for girls and guys in Kenya

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the application-focused generic top-level domain (.app), 'dietplancityhugo-yizna5vpb1.edgeone.app' is registered, featuring subdomain 'dietplancityhugo-yizna5vpb1'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus 3 consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dietplancityhugo-yizna5vpb1.edgeone.app/10159-100-best-funny-pick-up-lines-for-girls-and-guys-in-kenya.html

Page Load Overview

29.38s
Total Load Time
20
HTTP Requests
12
Domains
28 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:12,206 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
healthcare medical
26%
government public service
25%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8192.178.183.95United States
AS15169Google LLC
2172.240.127.242United States
AS7979Servers.com, Inc.
2142.251.127.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
207--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120B2181FDA80013C1BB2419273D6B67E7B1B80369390C9F694AE961973A77DF143768C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSRhnYf8zX+HcLZJKJqJ/cp6OmV4UsTvBEP8MV2lNVm8tETqJL+eQPuC3YYrWag2:nRhnz+HcLTJUDmVu9nlFSAahuCoYrWaX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23734:uEgIgYBQBJTUIDxCEFDjSAWIiCROaZAEKCRsgARDWEAQrsIKanp6CIkHVHQEYEA64LWEgEBFwUERAABBtQwpEUF4JiDADoDi

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:00000000002000ff
Perceptual Hash:826dfd0ad512bd1a
Difference Hash:e5c3c9c9c5c1c9c1
Wavelet Hash:3c3014203d3d3dff
Color Hash:#6ce0a0

Other Hashes

Crop Resistant:e5c3c9c9c5c1c9c1,f5c3c9c9c9c1c1c5

Scan History

Scan history not available

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