Security Scan Report: fit-blush-fgmyoamln1-x9hx29kz34.edgeone.app

Submitted: Feb 27, 2026, 4:21:25 AMCompleted: Feb 27, 2026, 4:22:44 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 fit-blush-fgmyoamln1-x9hx29kz34.edgeone.app and was registered NaN years ago.

Submitted URL: https://fit-blush-fgmyoamln1-x9hx29kz34.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: 93%

0
Risk Score

No malicious activity detected; the site appears to be a harmless demo page.

Safety Factors
No credential or payment collection
No malicious Indicators of Compromise
Standard minified JavaScript only
No external domains or redirects
Hosting platform subdomain without malicious activity
Domain age information unavailable

Details

Page Title

Demo Free Fire UI

Scan Type

public

Language

🇺🇸

English

(43% confidence)

Category

social media network

(98%)

Domain Information

The domain name 'fit-blush-fgmyoamln1-x9hx29kz34.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'fit-blush-fgmyoamln1-x9hx29kz34'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 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://fit-blush-fgmyoamln1-x9hx29kz34.edgeone.app/

Page Load Overview

0.53s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:43%
Script Type:Latin
HTML Lang Attribute:id
Text Length:173 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as en

Website Classification

Primary Category

social media network98% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
98%
entertainment media
70%
technology software
68%

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

T1BC5162DB45E30D612957A4A426BA830A3534D00B8A4FD60C3EACB3C4DF83DE6D95634C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:KpxC9ry0JwcSc6W+tRHjlyi6nIOHu7HT1FJHysenLDznysOj6cnysOJH6f:CA9rtJwcSc6WcnX6nFuzlHy7Tyf3y9Hw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2826:AAEAFAKQAwEEAgQCBAAAAACABAFEIAIACBJAgAAAUQAgABAIAlyQDAAAAAKAIAAEBAAEAIAAQAECECgEIAcCCAAIgAgMACAA

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:0101011919010101
Perceptual Hash:887733cc8c7722d9
Difference Hash:01314db3b34d1101
Wavelet Hash:010101191d0d0101
Color Hash:#87c5b7

Other Hashes

Scan History

Scan history not available

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