Security Scan Report: randommemes-sil5cwsjf7.edgeone.app

Submitted: Mar 1, 2026, 8:20:52 AMCompleted: Mar 1, 2026, 8:22:18 AMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 12 domains to perform 49 HTTP transactions. The main domain is randommemes-sil5cwsjf7.edgeone.app and was registered NaN years ago.

Submitted URL: https://randommemes-sil5cwsjf7.edgeone.app/

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

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Site impersonates Google on a brand‑new hosting subdomain; classified as confirmed scam.

Risk Factors
Brand impersonation (Google) on a non‑official domain
Newly registered domain (<7 days old)
Subdomain on a hosting platform with unknown creation date
Domain age information unavailable

Details

Page Title

Google

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(54%)

Domain Information

Within the application-focused generic top-level domain (.app), 'randommemes-sil5cwsjf7.edgeone.app' is registered with subdomain 'randommemes-sil5cwsjf7'. The second-level label 'edgeone' is 7 characters long holding four vowels versus 3 consonants. Splitting it apart reveals 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-sil5cwsjf7.edgeone.app/

Page Load Overview

0.71s
Total Load Time
5
HTTP Requests
4
Domains
8 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:197 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software54% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
54%
news media journalism
38%
government public service
36%
documentation technical
35%
adult content
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5162.159.128.233Singapore
0104.26.8.44Singapore
0104.26.9.59Singapore
043.152.26.58Singapore
0216.58.206.42SingaporeUnknown
0172.217.16.196SingaporeUnknown
0216.58.206.46SingaporeUnknown
0142.250.201.67SingaporeUnknown
0142.251.141.67SingaporeUnknown
052.200.102.227SingaporeUnknown
512--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E6645C326340293B64239E90B2BE6F0D3C36E51BED1786F8A6D1E570DBE2DB1291531D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jCJ6+d6bwQiVshQA7xy7vsCtRU2dykINEhdKyFa:jCJ6c6bwQiVshQA7xyQCXUKI88F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:308419:EFFitTwJRAsRDQOF4gjGAEAWARGRlQlAAoiZzdIUkZCySaKIlQIYTmYAdEjgaGEIoJNVAKIzBCCUwGowBoBWKhgGAkUBhAOB

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:9bd96466717334c4
Difference Hash:6869797969696969
Wavelet Hash:3c3c3c3c3c3c3c3c
Color Hash:#ac537a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data