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Security Scan Report: expected-violet-az4rgpfthy-2aohr88iql.edgeone.app

Submitted: Feb 7, 2026, 3:13:45 PMCompleted: Feb 7, 2026, 3:15:11 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 expected-violet-az4rgpfthy-2aohr88iql.edgeone.app and was registered NaN years ago.

Submitted URL: https://expected-violet-az4rgpfthy-2aohr88iql.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

4
Risk Score

Site mimics Instagram but lacks malicious content; treat as moderate risk.

Risk Factors
Brand impersonation (Instagram) on a low‑ranking, unrelated domain
Domain does not correspond to the displayed brand
Safety Factors
Domain age 1004 days (well‑established)
No malicious Indicators of Compromise matches found
No login or payment forms present
No JavaScript malware patterns detected
Site returns an error page (no content fetched)
Domain age information unavailable

Details

Page Title

expected-violet-az4rgpfthy-2aohr88iql.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(95%)

Domain Information

The domain 'expected-violet-az4rgpfthy-2aohr88iql.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'expected-violet-az4rgpfthy-2aohr88iql'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Word splitting yields 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://expected-violet-az4rgpfthy-2aohr88iql.edgeone.app/

Page Load Overview

6.34s
Total Load Time
3
HTTP Requests
2
Domains
1 KB
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:152 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network95% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
95%
documentation technical
41%
news media journalism
34%
adult content
30%
entertainment media
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186048F773296063986558498F05B83099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:UfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszK2bMy8Oldg:HhoC9JSqzzbs6o3Sj3gcrs22eAO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:wMThBZsRDECuAqUBIHEgQIBGC6wGgGywrkEEJACGaJR2SQUZyKApZB6UMdKwCEqgKGAgBSMFCBAIwAY2YtKARALKAijCQOBA

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#86612d

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data