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Security Scan Report: used-coffee-nqatiypclk-7sdi6cgled.edgeone.app

Submitted: Mar 29, 2026, 6:54:48 PMCompleted: Mar 29, 2026, 6:56:26 PMpubliccompleted
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Summary

This website contacted 17 IPs in 4 countries across 12 domains to perform 180 HTTP transactions. The main domain is used-coffee-nqatiypclk-7sdi6cgled.edgeone.app and was registered NaN years ago.

Submitted URL: https://used-coffee-nqatiypclk-7sdi6cgled.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
Absence of login or payment forms
No malicious Indicators of Compromise
No brand impersonation in meta tags or content
Cross‑origin requests to trusted GitHub endpoints only
Domain age information unavailable

Details

Page Title

gn-math

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(75%)

Domain Information

The domain 'used-coffee-nqatiypclk-7sdi6cgled.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'used-coffee-nqatiypclk-7sdi6cgled'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. It segments into 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://used-coffee-nqatiypclk-7sdi6cgled.edgeone.app/

Page Load Overview

1.55s
Total Load Time
180
HTTP Requests
12
Domains
21.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:32,424 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media75% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
75%
technology software
68%
adult content
62%
cryptocurrency blockchain
40%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20104.26.1.87United States
AS13335Cloudflare, Inc.
10212.117.190.217Luxembourg, Luxembourg, Luxembourg
AS7979Servers.com, Inc.
10172.66.173.54United States
AS13335Cloudflare, Inc.
10151.101.1.229United States
AS54113Fastly, Inc.
10172.67.74.126United States
AS13335Cloudflare, Inc.
10151.101.129.229United States
AS54113Fastly, Inc.
1043.152.26.58Singapore
AS139341ACE
10104.26.0.87United States
AS13335Cloudflare, Inc.
10151.101.65.229United States
AS54113Fastly, Inc.
10172.217.16.202United States
AS15169Google LLC
18017--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T193B468B2A501147B1D6340E567B49F3B70E28F2FEAC2169633FC97C9578ACE59E0A01D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:DsBi1MdJQoF38Ge3gcGcBbYqb0PCfXyXZHEH0KoxydiUy/xp5drUC2k0P5hRLL58:Ds5Fcir/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:501728:xXwwuQwYxACEARAERKNkgpGouBA5nAk4NiAmIkoAgoYYAoAgjETI1FOqBJIhNosgAAylUFAZ0YB4InMZMIihsAIgABFGyQAh

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:ff1034340000043e
Perceptual Hash:c6eeb13990e6cc92
Difference Hash:926868686893ccf8
Wavelet Hash:ff383c3c3c18047e
Color Hash:#79a1d2

Other Hashes

Crop Resistant:ecc0c896969692d4,9b93b5c46692c545,71d0989e9c9ec871,926868686893ccf8

Scan History

Scan history not available

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