Security Scan Report: cuddly-apricot-syndirp1j3-otr0ekv9vf.edgeone.app

Submitted: Mar 9, 2026, 10:58:24 PMCompleted: Mar 9, 2026, 10:59:42 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is cuddly-apricot-syndirp1j3-otr0ekv9vf.edgeone.app and was registered NaN years ago.

Submitted URL: https://cuddly-apricot-syndirp1j3-otr0ekv9vf.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 Holi Sister 💖

Scan Type

public

Language

🇺🇸

English

(44% confidence)

Category

adult content

(38%)

Domain Information

Within the application-focused generic top-level domain (.app), 'cuddly-apricot-syndirp1j3-otr0ekv9vf.edgeone.app' is registered, featuring subdomain 'cuddly-apricot-syndirp1j3-otr0ekv9vf'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Breaking it apart gives 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://cuddly-apricot-syndirp1j3-otr0ekv9vf.edgeone.app/

Page Load Overview

0.92s
Total Load Time
3
HTTP Requests
2
Domains
3.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:44%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:44%
Script Type:Latin
Text Length:462 chars
Detector Agreement:67%

Website Classification

Primary Category

adult content38% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
38%
healthcare medical
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
143.152.26.58Singapore
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12A71655E82D312072A5360BA3B67D38D71F0C20BF847C8053DED61888F8D5A286A33E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:eKr6XFvGrBGqCGHbDGqEGmYQW1zhdPisieG8U4pQ1W1Pu:VGXFCtBb320dPisi7yu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3780:SABAGAgBAAgCJEQABBIIBAIAKgAgBZAiAwAMgAYhiCQBMQDEJAIACCCBIASBAAQAQlCAAAJIAhAIgAAARgAAFAgIgIggUCAE

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:efc7c787c7c7c1c1
Perceptual Hash:b0d7c9b28d4c9ccc
Difference Hash:589cac2f0c1f1b93
Wavelet Hash:efc7c081c7c7c1c1
Color Hash:#783a54

Scan History

Scan history not available

Unable to load historical scan data