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Security Scan Report: fluttering-tomato-l6svehbipu-996iyooyy0.edgeone.app

Submitted: Mar 11, 2026, 5:32:06 AMCompleted: Mar 11, 2026, 5:33:46 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 fluttering-tomato-l6svehbipu-996iyooyy0.edgeone.app and was registered NaN years ago.

Submitted URL: https://fluttering-tomato-l6svehbipu-996iyooyy0.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: 85%

3
Risk Score

Site shows no malicious content but is a brand‑new subdomain on edgeone.app, so treat it as low‑risk and proceed cautiously.

Risk Factors
New subdomain on a hosting platform with unknown creation date
Low domain ranking (455,732) suggests limited trust
Safety Factors
No password, email, or payment fields present
No JavaScript malware patterns detected
No network IDS alerts detected
HTTPS connection (secure transport)
Domain age information unavailable

Details

Page Title

Hackathon Countdown

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(66%)

Domain Information

The domain 'fluttering-tomato-l6svehbipu-996iyooyy0.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'fluttering-tomato-l6svehbipu-996iyooyy0'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Segmentation suggests 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://fluttering-tomato-l6svehbipu-996iyooyy0.edgeone.app/

Page Load Overview

13.15s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:849 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software66% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
66%
documentation technical
38%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
AS139341ACE
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0511E4FA2721016BB1B71B537D713283858F043B406C19E364DA2B4BF95634D6AB3EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:B/3LKucgNVrZ10FNbvVNJo2ecj8g3jDn/ejjpRwYl7:xdDHd1MdvVI68gv2fpRF7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2905:FAAIIAAABkAEQAIBIAIACIIIEJUgoIwCAFAAAkQgAAQAAEAAAwAAAAAMEAUEUaGAAEAEEEEEAAg4EEAAACzAAIAEAkAEABAE

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:0000183c183c0000
Perceptual Hash:886432dbcfcd9c34
Difference Hash:0931317171711521
Wavelet Hash:01011d3d3d3d1901
Color Hash:#7bbf40

Other Hashes

Crop Resistant:cbcbcbcbcbcbcbcb,52524a4a4b4b5a5b,6a6a6bababab2b2b,0931337171711521

Scan History

Scan history not available

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