Security Scan Report: mutual-gray-dgafca4rlf-n58hjt4shh.edgeone.app

Submitted: Feb 24, 2026, 3:32:51 AMCompleted: Feb 24, 2026, 3:33:58 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is mutual-gray-dgafca4rlf-n58hjt4shh.edgeone.app and was registered NaN years ago.

Submitted URL: https://mutual-gray-dgafca4rlf-n58hjt4shh.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

news media journalism

(26%)

Domain Information

Within the application-focused generic top-level domain (.app), 'mutual-gray-dgafca4rlf-n58hjt4shh.edgeone.app' is registered and includes subdomain 'mutual-gray-dgafca4rlf-n58hjt4shh'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Splitting it apart reveals 2 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://mutual-gray-dgafca4rlf-n58hjt4shh.edgeone.app/

Page Load Overview

0.35s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:52 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

news media journalism26% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
26%

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

T1AF02C5CAEBA305C9A82BC06C2FFF5724222DE017C449CD5DB99E1F548F0518875EA3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB/h1RaXQl:KrzhNK/lMHmGgdkq8d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8697:IBWS13QKBQMRNBUdoU2ChAAiSQCFjQQAMFAJCAECiDeWAJEIgMV0wwKACYcCANaBhTzcdQj2SEF6JAtBAAIGCioCOiaXBAEB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030200000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#382dd2

Other Hashes

Crop Resistant:3030200000000000

Scan History

Scan history not available

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