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Security Scan Report: profound-apricot-zgfm8b4s-dp78g99lwhwm.edgeone.app

Submitted: Jun 11, 2026, 5:43:24 PMCompleted: Jun 11, 2026, 5:44:32 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is profound-apricot-zgfm8b4s-dp78g99lwhwm.edgeone.app and was registered NaN years ago.

Submitted URL: https://profound-apricot-zgfm8b4s-dp78g99lwhwm.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: 75%

2
Risk Score

The site shows low risk indicators: no forms, no malware, but unknown subdomain age and low ranking suggest caution.

Risk Factors
Unknown subdomain age (could be newly created)
Low domain ranking in Cisco Umbrella
Hosted on a generic subdomain of a hosting platform
Safety Factors
No login, payment, or credential collection forms
No malicious script detections or YARA matches
No network IDS alerts or credential exfiltration observed
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

documentation technical

(77%)

Domain Information

You're looking at domain 'profound-apricot-zgfm8b4s-dp78g99lwhwm.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'profound-apricot-zgfm8b4s-dp78g99lwhwm'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://profound-apricot-zgfm8b4s-dp78g99lwhwm.edgeone.app/

Page Load Overview

0.67s
Total Load Time
2
HTTP Requests
1
Domains
3 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:56 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical77% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
77%
technology software
77%
news media journalism
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16402B5CAEBA305C9A82BC0692FFB5724232DE057C449CD5DB99E1F548F0518875EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBLh1RaXQl:KrzhNK/lMHmGgdkqqd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8712:IScK13hCBQOQNBUcAU2AxAAiegCkDSQgc1AJwAACqDKQQIkMAMR0wwKQTYciJNbAwTjcVQAmaEheFApBPAoGCCsDOCaWAIER

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#d22dbc

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data