Security Scan Report: academic-turquoise-f2u19jsh-dp81etevluaz.edgeone.app

Submitted: Jun 12, 2026, 2:01:01 AMCompleted: Jun 12, 2026, 2:02:27 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is academic-turquoise-f2u19jsh-dp81etevluaz.edgeone.app and was registered NaN years ago.

Submitted URL: https://academic-turquoise-f2u19jsh-dp81etevluaz.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

Happy Birthday Princess Sejal

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(37%)

Domain Information

The domain name 'academic-turquoise-f2u19jsh-dp81etevluaz.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'academic-turquoise-f2u19jsh-dp81etevluaz'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Tokenizing the label suggests 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://academic-turquoise-f2u19jsh-dp81etevluaz.edgeone.app/

Page Load Overview

5.41s
Total Load Time
3
HTTP Requests
2
Domains
15 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
Text Length:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical37% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

documentation technical
37%
phishing scam
29%
news media journalism
27%
adult content
26%
technology software
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C04132A25AAB2121A577D1E2F4B1875E30D4891EEC27039C8AFDB77447CEC823C2654C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T1hjoNyGeseu7SaSaSaSaSTx5/lEFiVr6bKxDtLuSUj:T7jLwlSaSaSaSaSlxlEF0ubQDZNUj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2137:QBAAAVAgUAEYICEAEABAACBAAAAQAEAAABDAQIASSAAARgEoBAAAAAAAAAAAAAICEEQAIABCAIggEAAAQCACMEBAAAAAgABA

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:0000181818180000
Perceptual Hash:993366cccc3399cc
Difference Hash:100c3232b2320c10
Wavelet Hash:00001c1c3c3c0000
Color Hash:#75bf40

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data