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Security Scan Report: askocblog-dptdxwy2odnr.edgeone.app

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Submitted: Jun 17, 2026, 2:53:30 PMCompleted: Jun 17, 2026, 2:54:39 PMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 5 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/arithmetic-series-formula-examples.html

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk site; no forms or malicious indicators, only high JS obfuscation but no evidence of phishing or malware.

Risk Factors
High JavaScript obfuscation score (critical) without supporting malicious behavior
Unknown subdomain creation date on a hosting platform
Safety Factors
Page type is an article (og:type=article) with no brand impersonation
No external malicious links or suspicious external domains
No network IDS alerts or credential exfiltration detected
Content appears to be technical documentation
Domain age information unavailable

Details

Page Title

Arithmetic Series Formula Examples: Practical Applications for Problem Solving

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(46%)

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 registrable portion 'edgeone' spans 7 characters containing four vowels alongside 3 consonants. It segments into two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://askocblog-dptdxwy2odnr.edgeone.app/arithmetic-series-formula-examples.html

Page Load Overview

2.45s
Total Load Time
14
HTTP Requests
10
Domains
67 KB
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:3,443 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
46%
government public service
40%
corporate
35%
adult content
34%
blog personal website
33%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.21.0.120United States
AS13335Cloudflare, Inc.
2128.163.189.86Lexington, Kentucky, United States
AS23162University of Kentucky
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2142.251.20.95United States
AS15169Google LLC
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
145--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
Drupal
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T199720A27EB81532853220158BCD973FE753D8426EB42ACE178ECD3299BC6AD741F13A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSLhnYf8zX+qbyT3yTF9yTh06d430YAQyTlTlHMPYSorWag4MVRn:TLhnz+qbg3g/ghZa9/gzH6erWag4WF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16234:IiATBpoAzGxiaOQQOSADomA1ZRw5A0SSogqHaUgsyJgAAwFDFWZMEBlVBCFAiEDaGVqoEHqwGEwAZiwwAJqYRNOJAfIBAMbA

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:197d01013d617d7d
Perceptual Hash:8a1dc9999c3c3c3e
Difference Hash:f1c90551c5c1cdc1
Wavelet Hash:197d01017d71717f
Color Hash:#6cbfe0

Other Hashes

Crop Resistant:f1c90551c5c1cdc1

Scan History

Scan history not available

Unable to load historical scan data