Security Scan Report: greasy-aquamarine-fkiogpnozz-b83vclkkph.edgeone.app

Submitted: Mar 27, 2026, 11:21:39 PMCompleted: Mar 27, 2026, 11:22:48 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 greasy-aquamarine-fkiogpnozz-b83vclkkph.edgeone.app and was registered NaN years ago.

Submitted URL: https://greasy-aquamarine-fkiogpnozz-b83vclkkph.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%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
Absence of credential or payment collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation (standard minification)
Hosted on a known development/hosting platform (edgeone.app)
No suspicious redirects or network alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'greasy-aquamarine-fkiogpnozz-b83vclkkph.edgeone.app' is registered, featuring subdomain 'greasy-aquamarine-fkiogpnozz-b83vclkkph'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 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://greasy-aquamarine-fkiogpnozz-b83vclkkph.edgeone.app/

Page Load Overview

0.59s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:99 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

T1BB12D8C9EBD305C8681BC4682FFF5725222DE053C449C95DB99E0F548F4518875FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBVhKh1RaXQl:KrzhNK/lMHmGgdkqKgd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9662:ICVD1nAAByeQNBUUAU2AhAIiKQaEDQQIMFALEjAL2DAQAIEIDMQ0wzOBKbcCAMaggTicVyAmbEFahghjAAZOCCuCOCaOAAEF

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:dcfcfcf0e0e0c0c0
Perceptual Hash:da9a986c6c65c3c3
Difference Hash:3030700000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#7987d2

Other Hashes

Crop Resistant:3030700000000000

Scan History

Scan history not available

Unable to load historical scan data