Security Scan Report: growing-copper-asctgfiibf-44xzcdp8oc.edgeone.app

Submitted: Apr 4, 2026, 8:54:04 AMCompleted: Apr 4, 2026, 8:55:25 AMpubliccompleted

This website contacted 2 IPs in 2 countries across 2 domains to perform 8 HTTP transactions. The main domain is growing-copper-asctgfiibf-44xzcdp8oc.edgeone.app and was registered 3 years 4 months ago.

Submitted URL: https://growing-copper-asctgfiibf-44xzcdp8oc.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: 78%

2
Risk Score

No malicious activity detected; site appears benign but is a newly created subdomain on a hosting platform.

Risk Factors (2)
New subdomain on a free hosting platform with unknown creation date
Domain not listed in Cisco Umbrella top 1M (unranked)
Safety Factors (5)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Content does not claim to be an official brand
Domain age information unavailable

Details

Page Title

interview_appointment

Scan Type

public

Domain Name Analysis

You're looking at domain 'growing-copper-asctgfiibf-44xzcdp8oc.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'growing-copper-asctgfiibf-44xzcdp8oc'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Word splitting yields two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://growing-copper-asctgfiibf-44xzcdp8oc.edgeone.app/

Page Load Overview

1.67s
Total Load Time
12.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:344 chars
Detector Agreement:50%

Website Classification

Primary Category

adult content62% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
62%
news media journalism
49%
entertainment media
42%
corporate business
40%
government public service
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4163.181.58.167Germany
AS24429Zhejiang Taobao Network Co.,Ltd
443.152.26.58Singapore
82--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19692DD109641613F122FC9DA74A5DFE732D6931ADC5B082495BC8398AFE7C70F109EAD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KLrCPNWRctcMk1MAgwTfdEmnzgTAp1K2QN8uZ9N+5SrVdJpV:KPQWRctcMk1MAgwTfdEEzgTAp1s9NlhX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20629:gTiIAUDUJKYIVBAlOAMjzAKGCBIMCGCAQAlQEELjSGIVBiB0KLGcQABi8lYA0EwQiJbB0kmmsQI9EoAYiEBalaggSGGGxJgp

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:007e7f7fa53d7ffe
Perceptual Hash:d508552f572a55ab
Difference Hash:c08081c94969a000
Wavelet Hash:003e7e24a5247efe
Color Hash:#ac9d53

Other Hashes

Crop Resistant:c08081c94969a000

Scan History

Scan history not available

Unable to load historical scan data