Security Scan Report: grim-beige-fqmm2qhvic-3vsnfqay5e.edgeone.app

Submitted: Feb 28, 2026, 8:39:35 PMCompleted: Feb 28, 2026, 8:40:44 PMpubliccompleted
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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 grim-beige-fqmm2qhvic-3vsnfqay5e.edgeone.app and was registered NaN years ago.

Submitted URL: https://grim-beige-fqmm2qhvic-3vsnfqay5e.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: 72%

4
Risk Score

No malicious activity found, but the brand‑new subdomain on a free hosting service warrants moderate caution.

Risk Factors
New/unknown subdomain on free hosting platform
Low Cisco Umbrella ranking indicating limited reputation
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

unknown

(0%)

Domain Information

Within the application-focused generic top-level domain (.app), 'grim-beige-fqmm2qhvic-3vsnfqay5e.edgeone.app' is registered, featuring subdomain 'grim-beige-fqmm2qhvic-3vsnfqay5e'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grim-beige-fqmm2qhvic-3vsnfqay5e.edgeone.app/

Page Load Overview

0.38s
Total Load Time
2
HTTP Requests
1
Domains
7 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:63 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

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

T16702C6CAEB9305C9A82BC4682FFF5724222DE057C448CD5DB99E1F548F4518875EB3B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBih1RaXQl:KrzhNK/lMHmGgdkqfd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8716:JAUC1nAGBQMQNBccIU2gxAAiSQGkDRQANFAJSABKyDKQAYEIQMT04wKACYcCANaCgTmcVwQmSEhaBAhBCCIGCCsGOCaWAMED

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:dcfcfce0e0e0c0c0
Perceptual Hash:d89a983c6c6567c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#87a8c5

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data