Security Scan Report: ringcatchblog-dpopx82nsygo.edgeone.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Informational article with no malicious indicators; low risk.

Risk Factors (1)
Domain is unranked and hosted as a subdomain on edgeone.app with unknown creation date
Safety Factors (3)
Absence of forms or data collection fields
No malicious script behavior or external command‑and‑control indicators
Content appears to be a standard informational article about a public figure
Domain age information unavailable

Details

Page Title

Understanding Actor Gong Yoo Age: A Quick Guide for Fans

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'ringcatchblog-dpopx82nsygo.edgeone.app' is registered; it also runs on subdomain 'ringcatchblog-dpopx82nsygo'. The core label 'edgeone' covers 7 characters holding four vowels versus 3 consonants. Splitting it apart reveals 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://ringcatchblog-dpopx82nsygo.edgeone.app/actor-gong-yoo-age.html

Page Load Overview

2.17s
Total Load Time
325 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:3,219 chars
Detector Agreement:80%

Website Classification

Primary Category

entertainment media59% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
59%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.127.242United States
AS7979Servers.com, Inc.
32.21.110.203Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
3104.21.0.120United States
AS13335Cloudflare, Inc.
3172.217.208.95United States
AS15169Google LLC
343.152.26.58Singapore
155--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B772FA67EAC0212CA3210255A0C5F6BCFA6C802AE7428DF5746DF338AFC97CB55756C9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWMhnYf8zX+lTcFSuw8u9o6CHINALPoYSGaorWag4MV3V:ZWMhnz+NEX6CHINw5rWag4Wl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16541:AczTGgAXkEyAAAIgqKABYjAiAUliZhUCAMCCjh4BWOAUMOloczhEiAUQsLE0pRI02IE0GQRqAwOQLjWALgCJIFEEwBhRB9Qg

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:ffffffc3c3838387
Perceptual Hash:bcc192666d3e9649
Difference Hash:22102222222e2b3f
Wavelet Hash:98feff8383838183
Color Hash:#a6c587

Other Hashes

Crop Resistant:22102222222e2b3f

Scan History

Scan history not available

Unable to load historical scan data