Security Scan Report: bilal-lesson7-i8mit27ubg.edgeone.app

Submitted: Apr 3, 2026, 11:46:49 AMCompleted: Apr 3, 2026, 11:48:12 AMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 4 HTTP transactions. The main domain is bilal-lesson7-i8mit27ubg.edgeone.app and was registered NaN years ago.

Submitted URL: https://bilal-lesson7-i8mit27ubg.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: 85%

2
Risk Score

Legitimate informational page with no security concerns.

Safety Factors
Absence of login, payment, or data‑collection forms
No malicious Indicators of Compromise
Low JavaScript obfuscation (no malware patterns)
Hosted on a known free‑hosting platform (edgeone.app)
Content matches page title, no brand mismatch
Domain age information unavailable

Details

Page Title

🐅 Misi Cyber Safari: Desimal & Persen 🦅

Scan Type

public

Language

🇮🇩

ID

(80% confidence)

Category

finance banking

(55%)

Domain Information

Within the application-focused generic top-level domain (.app), 'bilal-lesson7-i8mit27ubg.edgeone.app' is registered; it also runs on subdomain 'bilal-lesson7-i8mit27ubg'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Segmentation suggests 2 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://bilal-lesson7-i8mit27ubg.edgeone.app/

Page Load Overview

0.50s
Total Load Time
4
HTTP Requests
3
Domains
47 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:292 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking55% confidence
Type: static
Method: ml+structural

All Detected Categories

finance banking
55%
government public service
48%
cryptocurrency blockchain
48%
travel tourism
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
1142.250.154.94United States
AS15169Google LLC
1192.178.183.95United States
AS15169Google LLC
43--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18B52C656B5E30026590794F82B9347073A3C91036A06DEA93F5D93D48F9F98EB6B338D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:aCxaHFjhMI0LjBBCOFLtb28gJEOKpMWmWeC84QAnmcQoyDw7/boQztcJUoTg9vtj:oFjrlAMNj+5Qoaw75CJUF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13853:gFTFrJdYDhNLA8CDMISRMALgSRYYQFjB4CwwJtXIIKAPuCQRIhVkFgBYgEQQhRpY1BGtjsSDCCCphBltshwClASAB2EEM2ME

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:00003c3c3c3c0000
Perceptual Hash:df3322cc8b32cc99
Difference Hash:4004717171710c50
Wavelet Hash:ff003c3c3c3c00ff
Color Hash:#aa40bf

Other Hashes

Crop Resistant:4004717171710c50

Scan History

Scan history not available

Unable to load historical scan data