Security Scan Report: depressed-scarlet-v279twmtf2-soq02dfbzy.edgeone.app

Submitted: Mar 28, 2026, 3:04:55 PMCompleted: Mar 28, 2026, 3:06:04 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is depressed-scarlet-v279twmtf2-soq02dfbzy.edgeone.app and was registered NaN years ago.

Submitted URL: https://depressed-scarlet-v279twmtf2-soq02dfbzy.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 malicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment collection fields
Subdomain hosted on edgeone.app but no suspicious content
Domain reachable and returns a page
No redirects or cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

cryptocurrency blockchain

(37%)

Domain Information

Domain 'depressed-scarlet-v279twmtf2-soq02dfbzy.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'depressed-scarlet-v279twmtf2-soq02dfbzy'. The core label 'edgeone' covers 7 characters split between 4 vowels and 3 consonants. Splitting it apart reveals two 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://depressed-scarlet-v279twmtf2-soq02dfbzy.edgeone.app/

Page Load Overview

0.36s
Total Load Time
2
HTTP Requests
1
Domains
3 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:104 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

cryptocurrency blockchain37% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
37%

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

T14712C6C9FBE70AC8681BC4682FFF5725222DE053D448C95CB9AE1F548F4518875EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB/shgqh1RaXQl:KrzhNK/lMHmGgdkqKsWqd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9672:IScK13BAB4eQNBUUAUWAxACiKgCkCQQoc1AJggACuDAQQIkMAMQ0wyCQzacCJMbAwTicVyAmaEheFApDOA4OCSsDOCaGAIER

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:3030580000000000
Wavelet Hash:dcfcfce0f0e0e0c0
Color Hash:#ac5363

Other Hashes

Crop Resistant:3030580000000000

Scan History

Scan history not available

Unable to load historical scan data