Security Scan Report: grubby-amethyst-oq7gjigpfu-3ru8d57if5.edgeone.app

Submitted: Jan 16, 2026, 11:32:14 PMCompleted: Jan 16, 2026, 11:33:33 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is grubby-amethyst-oq7gjigpfu-3ru8d57if5.edgeone.app and was registered NaN years ago.

Submitted URL: https://grubby-amethyst-oq7gjigpfu-3ru8d57if5.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: 95%

1
Risk Score

No suspicious activity detected; site appears low risk.

Safety Factors
Well‑established domain (>2.5 years)
No password, email, or payment fields
No malicious Indicators of Compromise matches
No external domains or redirects
Page title does not impersonate a known brand
Domain age information unavailable

Details

Page Title

আইডেন্টিটি কার্ড জেনারেটর

Scan Type

public

Language

🇧🇩

BN

(80% confidence)

Category

download file sharing

(90%)

Domain Information

You're looking at domain 'grubby-amethyst-oq7gjigpfu-3ru8d57if5.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'grubby-amethyst-oq7gjigpfu-3ru8d57if5'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Breaking it apart gives 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://grubby-amethyst-oq7gjigpfu-3ru8d57if5.edgeone.app/

Page Load Overview

1.02s
Total Load Time
5
HTTP Requests
3
Domains
219 KB
Total Size

Language Analysis

Primary Language

🇧🇩Bengali
Code: bn
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:bn
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:bn
Text Length:1,148 chars
Detector Agreement:100%

Website Classification

Primary Category

download file sharing90% confidence
Type: static
Method: ml+structural

All Detected Categories

download file sharing
90%
cryptocurrency blockchain
89%
technology software
88%
corporate business
86%
government public service
84%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.140.170Singapore
1104.17.24.14United States
AS13335CLOUDFLARENET
143.152.26.58Singapore
53--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FA2523534BF10316843E8E96F9A93003555EC03964AEF58BE4D52889F6EE74CCA77D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:T9fo0FMF0FgFmFHF4F06/a9rXuLzggKyrSKSnFSDRORAh4CF:T9fo0FMF0FgFmFHF4F06/aZmzgg39Sc3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22486:gADEnaXGIUAQBlApsaEEwSYegI1gWZTAJiQ0FAAyjNTJlCWgmxgFGIQIKAAUtCkYMEKOQMJSmgBBCTpLl0+QJCCwclJjCYIM

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:8183f3fffff3fbff
Perceptual Hash:ec3c383a326d6dc4
Difference Hash:3f37c6e76967e6ec
Wavelet Hash:0000f0f4f4b1f1ff
Color Hash:#6b2d86

Scan History

Scan history not available

Unable to load historical scan data