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Security Scan Report: ringcatchblog-dpopx82nsygo.edgeone.app

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Submitted: Jun 21, 2026, 5:17:52 AMCompleted: Jun 21, 2026, 5:19:01 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is ringcatchblog-dpopx82nsygo.edgeone.app and was registered NaN years ago.

Submitted URL: https://ringcatchblog-dpopx82nsygo.edgeone.app/andrew-shue-twitter-followers.html

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

Low risk; the site appears to be a benign blog article with no malicious forms or code.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Unknown subdomain creation date (could be newly created)
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript or credential exfiltration observed
No network IDS alerts triggered
Meta tags and Open Graph data indicate a standard article page
Domain age information unavailable

Details

Page Title

Understanding Andrew Shue’s Twitter Followers: What You Need to Know

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(97%)

Domain Information

Domain 'ringcatchblog-dpopx82nsygo.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'ringcatchblog-dpopx82nsygo'. Count 7 characters in 'edgeone' containing 4 vowels alongside three consonants. Splitting it apart reveals 2 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/andrew-shue-twitter-followers.html

Page Load Overview

1.36s
Total Load Time
14
HTTP Requests
11
Domains
261 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:3,880 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network97% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
97%
entertainment media
95%
blog personal website
83%
finance banking
81%
adult content
80%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4192.0.77.3San Francisco, California, United States
AS2635Automattic, Inc
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2142.250.154.95United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
146--

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

T14F72E96BE9815118BB72004965C1B3BC796C801BF7438DF7B89DA33C9BC6AD78876744

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWshnYf8zX+W9w87XByRe2hGZGUyboNjag4n+MX:ZWshnz+W9pgRe2hfsNjag4+Q

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17160:AbshgEUTC0GCAdCBAJCiQ3EkGADSaRwBxCAYgKaoeEaEYjIOMgICYrAIcCKwUFICQbhBKLggoSF2RiSLplYjAAOhAyEAAIci

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:ffffff838383c3ff
Perceptual Hash:ed9ac66d1865c6c1
Difference Hash:2200063b1b0f0736
Wavelet Hash:9effff8181818183
Color Hash:#6cade0

Other Hashes

Crop Resistant:2200063b1b0f0736,b0b0e4a0e71e3c3c,2d4d6d2d4dcd8b09

Scan History

Scan history not available

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