Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

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Submitted: May 21, 2026, 1:38:25 PMCompleted: May 21, 2026, 1:39:47 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 8 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/2045-pour-some-sugar-on-me-band-with-a-purposely-misspelled-animal-name-2-wds.html

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site appears to be a low‑risk informational article with no forms, no malicious indicators, and no brand impersonation.

Risk Factors
High JavaScript obfuscation score (static analysis shows unescape and concatenation)
Low Cisco Umbrella ranking (455,732) – not a concern without brand impersonation
Safety Factors
Page type is article (og:type="article"), indicating informational content
No redirects or external credential‑exfiltration endpoints
No brand claims or impersonation in meta tags
No network IDS alerts or malware detections
Hosting platform subdomain without suspicious activity
Domain age information unavailable

Details

Page Title

Pour Some Sugar on Me band with a purposely misspelled animal name: 2 wds.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(87%)

Domain Information

Domain 'dietplancityhugo-yizna5vpb1.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'dietplancityhugo-yizna5vpb1'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dietplancityhugo-yizna5vpb1.edgeone.app/2045-pour-some-sugar-on-me-band-with-a-purposely-misspelled-animal-name-2-wds.html

Page Load Overview

12.43s
Total Load Time
20
HTTP Requests
13
Domains
24 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:2,426 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
87%
government public service
78%
adult content
72%
news media journalism
66%
blog personal website
63%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.7.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.14.94United States
AS15169Google LLC
2104.20.23.96United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.240.127.244United States
AS7979Servers.com, Inc.
2172.217.208.95United States
AS15169Google LLC
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17652E92BEB80101C2B7D42A5A481F37D39A8C402E707C9D079E9D77DD7CE9E3946299D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSmhnYf8zX+4eDNeZeCeHJKJqJ/cp6beCviXfIedYYrWag4MDw:nmhnz+VnJUYvKIlYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13878:M6BMh0AkDwxwgqAktBMSAIQ2KAMUiJAMCEgoIJUBRAJAgcHiBEYEZBGgYC5EKJAQwZEgAkhhWEdKiUgJDA8Q4i6BQQhiJAgE

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:1800003c000000ff
Perceptual Hash:c343ed389616bc36
Difference Hash:f0c3c4c0cc122080
Wavelet Hash:3e787c7c7c0000ff
Color Hash:#d27e79

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data