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Security Scan Report: inspirasiinsightinsight-dp7avivk8s72.edgeone.app

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Submitted: Jun 27, 2026, 4:47:28 PMCompleted: Jun 27, 2026, 4:48:36 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is inspirasiinsightinsight-dp7avivk8s72.edgeone.app and was registered NaN years ago.

Submitted URL: https://inspirasiinsightinsight-dp7avivk8s72.edgeone.app/after-valentines-day-meme.html

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Low‑risk article page; no malicious forms, scripts, or brand impersonation detected.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date unknown (potentially very new)
Safety Factors
Absence of forms that collect credentials or payment data
Absence of malicious JavaScript or network alerts
Content type is an article (og:type=article) with no phishing intent
Domain age information unavailable

Details

Page Title

What to Do With Leftover Valentine’s Day Memes After the Party Ends

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(55%)

Domain Information

The domain 'inspirasiinsightinsight-dp7avivk8s72.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'inspirasiinsightinsight-dp7avivk8s72'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and 3 consonants. Word splitting yields 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://inspirasiinsightinsight-dp7avivk8s72.edgeone.app/after-valentines-day-meme.html

Page Load Overview

1.85s
Total Load Time
15
HTTP Requests
10
Domains
2.8 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:3,122 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network55% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
55%
e-commerce shopping
49%
entertainment media
41%
healthcare medical
39%
education learning
37%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
AS139341ACE
3104.21.0.120United States
AS13335Cloudflare, Inc.
3146.75.122.132Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3192.178.183.95United States
AS15169Google LLC
3172.240.108.84United States
AS7979Servers.com, Inc.
155--

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

T1A572D927E78042385A21024651C6B3FCBA2D843BE7568CE57CECF324D7CAADF5476688

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPW2hnYf8zX+Kp9VQbp9VHp9VBp9V+w8Xp9VgnX/nWUWpBR/goNjag4n+FV:ZW2hnz+RSQnX/bWppNjag4+z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17204:noKREgGAAXVQUIEEUahC4zU4wAKIAKIqHEZqLkFQySSEAUIFiA0RFhCIBKQgISIlQOQx9AiCDxMFIaUCCAPqoYACCYJyhcYm

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:ffffff83818181ff
Perceptual Hash:ad96d2693e3bc0c2
Difference Hash:32003a3b33132b2f
Wavelet Hash:9effff8181818183
Color Hash:#5397ac

Other Hashes

Crop Resistant:32003a3b33132b2f,43373f0f63231bc7,7b636373737365e5,05128643678f4753

Scan History

Scan history not available

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