Security Scan Report: impostermm-lxuigo8c02.edgeone.app

Submitted: Apr 16, 2026, 4:48:55 AMCompleted: Apr 16, 2026, 4:50:19 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 impostermm-lxuigo8c02.edgeone.app and was registered NaN years ago.

Submitted URL: https://impostermm-lxuigo8c02.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: 78%

5
Risk Score

Site displays a brand name on a newly created, low‑reputation subdomain without malicious activity; moderate risk.

Risk Factors
Low domain ranking (outside top 10K)
Subdomain on hosting platform with unknown age
Brand name used on untrusted subdomain
Safety Factors
No malicious Indicators of Compromise detected
No JavaScript malware patterns
No credential exfiltration or suspicious network activity
Domain age information unavailable

Details

Page Title

IMPOSTER MASTER ULTIMATE

Scan Type

public

Language

🇺🇸

English

(34% confidence)

Category

social media network

(87%)

Domain Information

The domain name 'impostermm-lxuigo8c02.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'impostermm-lxuigo8c02'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Word splitting yields two 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://impostermm-lxuigo8c02.edgeone.app/

Page Load Overview

0.95s
Total Load Time
2
HTTP Requests
1
Domains
N/A
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:34%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:34%
Script Type:Latin
HTML Lang Attribute:my
Text Length:386 chars
Detector Agreement:67%
Language mismatch: Declared as my but detected as en

Website Classification

Primary Category

social media network87% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
87%
adult content
81%
phishing scam
76%
technology software
74%
entertainment media
54%

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

T12332961272F6143158DBD5B72B9BCB8E3C26D10759058A043BAC10E1CF47E95C6BABEC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:HCkblrsGGKVChcHX4FzX8oi7OJt+aGiQ181HZ7h5P+91zc+Qjg11FE9n:z6WdevHuQkF8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11381:BASJEIYaxBKkkmjzoBLMENOMoQGBK3AJEgMMJmgkSIAi4AyYAgMgPkhoJNUBR4CJgIgDIlUirkgACEFsJIglyEVR5kAliCGm

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:000018181c180000
Perceptual Hash:99cc663399cc89b3
Difference Hash:000c30323a320400
Wavelet Hash:0000181818183030
Color Hash:#3a786c

Other Hashes

Crop Resistant:000c30323a320400

Scan History

Scan history not available

Unable to load historical scan data