Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 2 countries across 13 domains to perform 19 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://dietplancityhugo-yizna5vpb1.edgeone.app/17669-looksmaxxing-is-the-new-tiktok-trend-for-men-who-want-to-be-hot.html

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

AI Security Verdict

Moderate Risk

Confidence: 72%

3
Risk Score

The site shows no direct malicious activity, but unknown subdomain age and obfuscated scripts warrant cautious browsing.

Risk Factors (4)
Unknown subdomain age (potentially brand‑new)
High JavaScript obfuscation (indicative of minified/packed code)
Low domain reputation ranking
Hosted on a generic sub‑domain platform
Safety Factors (5)
No forms collecting credentials or payments
No Indicators of Compromise matched
No JavaScript malware YARA patterns detected
No network IDS alerts
Page type is an article (og:type=article) – no brand impersonation
Domain age information unavailable

Details

Page Title

"Looksmaxxing" Is the New Tiktok Trend for Men Who Want to Be Hot

Scan Type

public

Domain Name Analysis

The domain name 'dietplancityhugo-yizna5vpb1.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'dietplancityhugo-yizna5vpb1'. The registrable portion 'edgeone' spans 7 characters containing four vowels alongside three consonants. Splitting it apart reveals 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dietplancityhugo-yizna5vpb1.edgeone.app/17669-looksmaxxing-is-the-new-tiktok-trend-for-men-who-want-to-be-hot.html

Page Load Overview

11.93s
Total Load Time
66 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,223 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
83%
entertainment media
35%
corporate
35%
adult content
34%
forum community discussion
29%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.127.243United States
AS7979Servers.com, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2188.114.97.3United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
198--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F8621967F75102681B22219471E5B7BC3F3BC426E352CDB0E499E3298AC5BE74637788

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSfhnYf8zX+rwJKJq96GXr1elyYx01YYrWag4MDoq2:nfhnz+rQrXZek6YrWag4Aoq2

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14960:RBbCzYCTOAAoPQB8gJEQIDSEyuYET0ABCEgJqAAH0wAIjEHIxCRwQiKgUPAuPGEsaoHAk0Dg1AoohMtBInGAUCCA/AAiIWgo

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:3c20203c3c3c2418
Perceptual Hash:c96799639c329c36
Difference Hash:f0c2ccc4c0e0ccb2
Wavelet Hash:3c78387c7c7c3c18
Color Hash:#bd87c5

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data