Security Scan Report: bennerpredict-hyeg1gg68y.edgeone.app

Submitted: Mar 27, 2026, 11:42:27 AMCompleted: Mar 27, 2026, 11:43:53 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is bennerpredict-hyeg1gg68y.edgeone.app and was registered NaN years ago.

Submitted URL: https://bennerpredict-hyeg1gg68y.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; low risk but subdomain age is unknown.

Risk Factors
Subdomain on a free hosting platform with unknown creation date (moderate suspicion)
Low Cisco Umbrella ranking indicating limited reputation
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
Content appears benign and informational
Domain age information unavailable

Details

Page Title

Prediksi Bulanan Siklus Benner 2026–2030

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

corporate business

(79%)

Domain Information

Domain 'bennerpredict-hyeg1gg68y.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'bennerpredict-hyeg1gg68y'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Breaking it apart gives two 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://bennerpredict-hyeg1gg68y.edgeone.app/

Page Load Overview

0.67s
Total Load Time
2
HTTP Requests
1
Domains
11 KB
Total Size

Language Analysis

Primary Language

🇮🇩Indonesian
Code: id
Confidence:80%
Script:Unknown
Direction:ltr

Detection Details

Language Code:id
Detection Confidence:80%
Script Type:Unknown
HTML Lang Attribute:id
Text Length:11,959 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business79% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
79%
cryptocurrency blockchain
76%
finance banking
71%
adult content
60%
documentation technical
39%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19C33660184D2A102507211D5D206AF6AB2D402B1F7974965BFAE6EF3EFCECF0639678D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:/pE1EAYwzyUHRsLHtBXv80wTQ4kjsWQAwUmN/9nrk:BE1qwHRGfw0jQAdSO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52124:AAAwCDp4EgIKTsgEIlDQ4Q6FImOAAU8jQuKACihcFgCiYkALjRMBoDgCQDFDckHIcWyMgFFSwCMEIRRisGUAFjSYBUUCIMId

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:ff8181ffffffffff
Perceptual Hash:b93f1e949191d07a
Difference Hash:70331bda9292929a
Wavelet Hash:9e00014b4b5b5b6b
Color Hash:#c52dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data