Security Scan Report: ringcatchblog-dpopx82nsygo.edgeone.app

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Submitted: Jun 29, 2026, 4:38:03 PMCompleted: Jun 29, 2026, 4:39:12 PMpubliccompleted
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Summary

This website contacted 9 IPs in 4 countries across 9 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-verified.html

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Informational article with no malicious indicators; low‑risk despite unranked subdomain and unknown age.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Unknown subdomain creation date (could be newly created)
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript or network activity detected
Content appears to be a legitimate news‑style article
Hosted on a reputable edge computing platform
Domain age information unavailable

Details

Page Title

How to Spot a Verified Account on Twitter—and Why It Matters

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(70%)

Domain Information

The domain name 'ringcatchblog-dpopx82nsygo.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'ringcatchblog-dpopx82nsygo'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 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-verified.html

Page Load Overview

2.00s
Total Load Time
19
HTTP Requests
15
Domains
1.5 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:5,246 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network70% confidence
Type: dynamic
Method: ml+structural+ocr_tiebreaker

All Detected Categories

social media network
70%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.108.68United States
AS7979Servers.com, Inc.
2142.251.20.95United States
AS15169Google LLC
2192.178.183.132United States
AS15169Google LLC
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
235.214.209.17Groningen, Groningen, Netherlands
AS43515Google Ireland Limited
286.107.32.68Italy
AS52030Server Plan S.r.l.
231.11.35.170Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
199--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF920A67DB845119BB220106A482F3FCB729541FEB029CF2B8DEB32C87856D7A673654

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPW0hnYf8zX+wnw8Pk3tYrltL+KXjvsoNjag4n+av/:ZW0hnz+wnVk3KrHL+8jBNjag4+u

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19951:BCYCGggAmR2iafploMYBQPV90RDBDMTAwAQSCgMCSgDMoA5/ogUoyEQQACBEMAQpENgHEKEkgwhMBHwRgLM6xsMWy0PNBoJq

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:9fffffc1c1c1c187
Perceptual Hash:ebc5944b3c6a8c96
Difference Hash:220003030b0b0b2f
Wavelet Hash:9effff8181818183
Color Hash:#5371ac

Other Hashes

Crop Resistant:220003030b0b0b2f

Scan History

Scan history not available

Unable to load historical scan data