Security Scan Report: cute-indigo-yqhd7es3dh-9k3tsz5bw2.edgeone.app

Submitted: May 5, 2026, 12:42:46 AMCompleted: May 5, 2026, 12:44:06 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is cute-indigo-yqhd7es3dh-9k3tsz5bw2.edgeone.app and was registered NaN years ago.

Submitted URL: https://cute-indigo-yqhd7es3dh-9k3tsz5bw2.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site appears low risk with no malicious activity, but unknown subdomain age warrants cautious use.

Risk Factors
Unknown subdomain age (could be newly created)
Low Cisco Umbrella ranking
Hosted on a generic developer subdomain platform
Safety Factors
No login, payment, or credential forms
No malicious scripts or external links
Content classified as technical documentation
Domain age information unavailable

Details

Page Title

HTML & CSS Power Slides | 30 Interactive Tutorial Slides

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

documentation technical

(53%)

Domain Information

The domain name 'cute-indigo-yqhd7es3dh-9k3tsz5bw2.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'cute-indigo-yqhd7es3dh-9k3tsz5bw2'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. It segments into two 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://cute-indigo-yqhd7es3dh-9k3tsz5bw2.edgeone.app/

Page Load Overview

0.80s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:441 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical53% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
53%
technology software
52%
education learning
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T196B2B624A9920290ED43C0ECB7B3675DB26D815BDB83DCD17EDC87A88FC592840BA75C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:ToPlDdV1htXopBKY4dFvFbPihRHCFhLvJLdTYT5ySJo:MtpVrBSU6RHmPLdTYT5ySJo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24520:AkDGHzUiEOAAZxgFNEEAADAA5ZB2L6CCdICRRSgAbCACqAYPBCkqBYasNQBASfmQBshI8WFWUgOggD1qXCBABILQG2iGEIAg

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:1818181818180000
Perceptual Hash:d9d9668c6266c666
Difference Hash:b2b2b2b2b2b23230
Wavelet Hash:f8f8f8f8d8989818
Color Hash:#2dd296

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data