Security Scan Report: inspirasiinsightinsight-dp7avivk8s72.edgeone.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

Informational article with no malicious indicators; low risk.

Risk Factors (2)
Domain age unknown (subdomain on edgeone.app)
Domain is unranked in Cisco Umbrella
Safety Factors (3)
Absence of forms that collect credentials or payment data
No malicious JavaScript behavior or external C2 communication
Content is a news‑style article about a public figure
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Domain Name Analysis

Domain 'inspirasiinsightinsight-dp7avivk8s72.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'inspirasiinsightinsight-dp7avivk8s72'. Count 7 characters in 'edgeone' containing 4 vowels alongside 3 consonants. Word splitting yields 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://inspirasiinsightinsight-dp7avivk8s72.edgeone.app/andrew-shue-twitter-followers.html

Page Load Overview

2.07s
Total Load Time
283 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:3,880 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
6142.250.154.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2192.0.77.3San Francisco, California, United States
AS2635Automattic, Inc
145--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC72F967D9815128B772000A65C1B3BC796C801AF7438DF7B8ADA33C9BC6BDB8976744

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWshnYf8zX+Ffw87aByRe2hGZGUyboNjag4n+0W:ZWshnz+FfkgRe2hfsNjag4+N

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17224:BKATADCYAC0aAMThKBAEaGI3IQCyQZUASwISAoYgnQAeIBJUVk1wIgaAB+CwUGwyQaQkaBAI6AFHJwBgKEESFAAYS0AgANCE

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:#4e783a

Scan History

Scan history not available

Unable to load historical scan data