Security Scan Report: bottom-aqua-ksg6hnzjbe-9d2osmb1ep.edgeone.app

Submitted: Mar 1, 2026, 7:37:49 PMCompleted: Mar 1, 2026, 7:39:04 PMpubliccompleted
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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 bottom-aqua-ksg6hnzjbe-9d2osmb1ep.edgeone.app and was registered NaN years ago.

Submitted URL: https://bottom-aqua-ksg6hnzjbe-9d2osmb1ep.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: 92%

1
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Hosted on a standard subdomain of edgeone.app (known hosting platform)
No credential or payment forms present
No malicious script behavior detected
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'bottom-aqua-ksg6hnzjbe-9d2osmb1ep.edgeone.app' is registered, featuring subdomain 'bottom-aqua-ksg6hnzjbe-9d2osmb1ep'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Segmentation suggests 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bottom-aqua-ksg6hnzjbe-9d2osmb1ep.edgeone.app/

Page Load Overview

0.67s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:93 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T11002C6CAEBA305C8A82BC4682FFB5724232DE063C449CD5DB99E1F548F0518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB73h1RaXQl:KrzhNK/lMHmGgdkqy3d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8799:YgUC1nQCDZMaPJUeAU2ElBiiSACEDQwAMlIJAgAKiDOwAIEMAMR2wwqACbcCAN7QgTi9dQAmSERaBAjJABImOToCPWaWACGx

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:dcfcfcd0e0e0c0c0
Perceptual Hash:da9a989c6c6561e3
Difference Hash:3038480000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#c59c87

Other Hashes

Crop Resistant:3038480000000000

Scan History

Scan history not available

Unable to load historical scan data