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Security Scan Report: askocblog-dptdxwy2odnr.edgeone.app

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Submitted: Jun 24, 2026, 11:53:19 AMCompleted: Jun 24, 2026, 11:54:27 AMpubliccompleted
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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/ana-huang-book-signing.html

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site shows no malicious forms or scripts; despite being unranked and on an unknown‑age sub‑domain, it appears to be a low‑risk informational page.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1 M)
Sub‑domain on a hosting platform with unknown age
Meta description mentions an unrelated casino brand (Slotv) while content is about a book signing
Safety Factors
No forms that collect credentials or payment data
No malicious script behavior or credential exfiltration observed
Page type is "article" (og:type), indicating informational content
Domain age information unavailable

Details

Page Title

Ana Huang Book Signing: What to Expect and How to Attend

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(65%)

Domain Information

Domain 'askocblog-dptdxwy2odnr.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'askocblog-dptdxwy2odnr'. Count 7 characters in 'edgeone' containing 4 vowels alongside three 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://askocblog-dptdxwy2odnr.edgeone.app/ana-huang-book-signing.html

Page Load Overview

1.87s
Total Load Time
14
HTTP Requests
10
Domains
118 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:2,623 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media65% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
65%
social media network
63%
government public service
50%
gambling betting
48%
news media journalism
47%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.150.240United States
AS13335Cloudflare, Inc.
2142.251.14.95United States
AS15169Google LLC
2142.250.154.119United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.108.68United States
AS7979Servers.com, Inc.
145--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13F62E92BBA81111836324159A2D1FBFC7979C40BE382CCE1B6DCB72897C57EB1472658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:KSWhnYf8zX+BJ06JmZun37onxDiorWag4MVbydi:TWhnz+BJtyu3SzrWag4WbYi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14824:AikPAaADElh7HaIKkUgAohRANSOtesxNbyEQJQIQWAC4AgMgRhrCKQo5JACzYGBJXAgYGBDAggUSFkIAB6WwdxoGETKSAGCr

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:197901013d717d7d
Perceptual Hash:8a3dcdcc1c3d3c38
Difference Hash:f1c11d41c9c5c5c5
Wavelet Hash:197901013d757d7d
Color Hash:#291f93

Other Hashes

Crop Resistant:f3c11d41c9c5c5c5

Scan History

Scan history not available

Unable to load historical scan data