Security Scan Report: askocblog-dptdxwy2odnr.edgeone.app

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Submitted: Jun 18, 2026, 5:10:30 PMCompleted: Jun 18, 2026, 5:11:40 PMpubliccompleted
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Summary

This website contacted 10 IPs in 2 countries across 11 domains to perform 2 HTTP transactions. The main domain is askocblog-dptdxwy2odnr.edgeone.app and was registered NaN years ago.

Submitted URL: https://askocblog-dptdxwy2odnr.edgeone.app/a-aktien-b-aktien.html

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

The site appears to be a benign informational article with no phishing, malware, or credential‑harvesting indicators.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Absence of credential or payment collection fields
No external malicious links or IoC matches
No JavaScript behavior indicating credential exfiltration
Domain age information unavailable

Details

Page Title

Mastering a aktien b aktien: Avoid Common Pitfalls and Choose Smarter Strategies

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(47%)

Domain Information

The domain name 'askocblog-dptdxwy2odnr.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'askocblog-dptdxwy2odnr'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Word splitting yields 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://askocblog-dptdxwy2odnr.edgeone.app/a-aktien-b-aktien.html

Page Load Overview

2.06s
Total Load Time
38
HTTP Requests
16
Domains
5.1 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-US
Text Length:7,205 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical47% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
47%
corporate business
44%
adult content
44%
blog personal website
42%
news media journalism
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11172.67.150.240United States
AS13335Cloudflare, Inc.
3172.240.127.243United States
AS7979Servers.com, Inc.
3172.240.127.242United States
AS7979Servers.com, Inc.
3188.114.97.3United States
AS13335Cloudflare, Inc.
3101.33.10.10Frankfurt am Main, Hesse, Germany
3146.75.120.238Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3142.250.154.119United States
AS15169Google LLC
3192.178.183.95United States
AS15169Google LLC
3192.124.249.39Menifee, California, United States
AS30148Sucuri
3146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3810--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195C20AABD7D51A3957408040A180F1AEBB18463FEB138EF0B99CBB549F485DF0272ED9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSahnYf8zX+xi06+q3VnVSjezIvtK7HcnoPjag4n+yVj:Tahnz+xiCojJzIFK7HcoPjag4+y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27843:BhINYEGJMukMGZQo8iEy5BCERgQc9gmAfEQiBgoGEQEMC41AhChQFF0QLAQEJHQsmKjSkGAhRCQkGoCCAmWwiToqVORDRYgh

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:197d01013d317d7d
Perceptual Hash:8a38c7991d3c2d9d
Difference Hash:f1c90549d1c1c1c1
Wavelet Hash:197d01017d317d7d
Color Hash:#d2799a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data