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Security Scan Report: cheezncrackers-kfese79tjm.edgeone.app

Submitted: Mar 26, 2026, 9:21:13 PMCompleted: Mar 26, 2026, 9:22:50 PMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 3 HTTP transactions. The main domain is cheezncrackers-kfese79tjm.edgeone.app and was registered NaN years ago.

Submitted URL: https://cheezncrackers-kfese79tjm.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

Site shows no malicious activity; only minor suspicion due to unknown subdomain age.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking (outside top 100k) adds moderate suspicion
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware YARA matches
No network IDS alerts
Standard minified JavaScript only
Domain age information unavailable

Details

Page Title

Randomancer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(55%)

Domain Information

The domain 'cheezncrackers-kfese79tjm.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'cheezncrackers-kfese79tjm'. Its registrable label 'edgeone' stretches across 7 characters split between 4 vowels and three consonants. It segments into two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://cheezncrackers-kfese79tjm.edgeone.app/

Page Load Overview

0.64s
Total Load Time
3
HTTP Requests
2
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-us
Text Length:54 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
55%
technology software
53%
healthcare medical
38%
adult content
35%
news media journalism
34%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
1140.82.121.3Frankfurt am Main, Hesse, Germany
AS36459GitHub, Inc.
32--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE11AF246B632088A011C1B43FF4762CBBDE8007630ACC953E96351A9FDA24BD9F76D4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hEjJeuqrK8x6mTtFXS/XPSivMu4PyvTyAXF0bFVlc8zF0pV18:2gL0qi94PO2N12e

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1061:AAAAAABAQAQQIAAAAIAAAAAAAIAAAAAQEIAAAAUIAEAAAAAIAAQAAARAEFAAAAAAAAIAQAIAgAAAAAAAoAAAAEAAAAAAAQAA

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:0000000000000000
Perceptual Hash:0000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#ac538a

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data