Security Scan Report: randommemes-gdzza0ssd9.edgeone.app

Submitted: Mar 1, 2026, 9:13:36 PMCompleted: Mar 1, 2026, 9:15:01 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 8 domains to perform 43 HTTP transactions. The main domain is randommemes-gdzza0ssd9.edgeone.app and was registered NaN years ago.

Submitted URL: https://randommemes-gdzza0ssd9.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

4
Risk Score

Site shows moderate suspicion due to unknown subdomain age and a critical IDS alert, but lacks phishing or malware indicators.

Risk Factors
Unknown subdomain age on a free hosting platform
Critical network IDS alert indicating large POST request
Safety Factors
No forms (no credential or payment collection)
No JavaScript malware or YARA pattern matches
No brand impersonation or phishing language detected
Domain age information unavailable

Details

Page Title

Google

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(39%)

Domain Information

The domain 'randommemes-gdzza0ssd9.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'randommemes-gdzza0ssd9'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and three consonants. Word splitting yields 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://randommemes-gdzza0ssd9.edgeone.app/

Page Load Overview

0.48s
Total Load Time
5
HTTP Requests
4
Domains
4 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
Text Length:116 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network39% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
39%
documentation technical
32%
news media journalism
32%
technology software
31%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.217.16.195Singapore
0142.250.201.67Singapore
0104.26.9.59Singapore
043.152.26.58Singapore
0104.26.12.205SingaporeUnknown
0142.251.140.164SingaporeUnknown
0142.251.127.101SingaporeUnknown
0172.217.16.170SingaporeUnknown
58--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF546C366300393B60238D90A2FE6F0E3C3AE52BDD5706F9B6E1E570DBE2DB11116659

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:3/jo4sBbwx/Ants7zB/q5RU2dUeGkLIzEhdlFmt:3/joXBbwx/AntsVqbUcGkLImT8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:284122:eCIACdoJiiARCQxQwuUAGpalFAKnElAEwCpIAIIbRhAyhjnYAAVsGo2QIkB6aC8JiTAsTEpVjqVcFBYEGQxBMgIagcTBExAN

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:183c3c3c3c3c3c18
Perceptual Hash:9bd96464717364d1
Difference Hash:6069697969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#40bf82

Other Hashes

Scan History

Scan history not available

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