Security Scan Report: grim-blue-hbqxcjyisi-lwgr22xbid.edgeone.app

Submitted: Feb 22, 2026, 5:47:51 PMCompleted: Feb 22, 2026, 5:49:09 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is grim-blue-hbqxcjyisi-lwgr22xbid.edgeone.app and was registered NaN years ago.

Submitted URL: https://grim-blue-hbqxcjyisi-lwgr22xbid.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Low risk; no malicious activity observed on this unreachable subdomain.

Risk Factors
Subdomain on hosting platform with unknown creation date (moderate suspicion)
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Page content not fetched (no active content)
Domain age information unavailable

Details

Page Title

grim-blue-hbqxcjyisi-lwgr22xbid.edgeone.app

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

social media network

(48%)

Domain Information

Within the application-focused generic top-level domain (.app), 'grim-blue-hbqxcjyisi-lwgr22xbid.edgeone.app' is registered; it also runs on subdomain 'grim-blue-hbqxcjyisi-lwgr22xbid'. Count 7 characters in 'edgeone' holding four vowels versus 3 consonants. Tokenizing the label suggests 2 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-blue-hbqxcjyisi-lwgr22xbid.edgeone.app/

Page Load Overview

0.60s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:508 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network48% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
48%
phishing scam
41%
technology software
28%

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

T19D048F773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:GfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszm2bMy8OldU:FhoC9JSqzzbs6o3Sj3gcrsi2eAa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184606:iIROSEBZlohAUDBUaJyYk6EQQDIlEjIMgTSAUKgMFchS8DAQCwAhECICKKxFAMLYUAtg0wG5ihAJmISEcq4UgaBgEJA4YYFC

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:fcdcc0c4f0f0f0f0
Color Hash:#6e3a78

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data