Security Scan Report: bongeo.bonad.io

Submitted: Nov 28, 2025, 9:45:10 AMCompleted: Nov 28, 2025, 9:47:29 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is bongeo.bonad.io and was registered NaN years ago.

Submitted URL: https://bongeo.bonad.io/

The Cisco Umbrella rank of the primary domain is #222,088 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Established domain age
Absence of malicious Indicators of Compromise
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

bongeo.bonad.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(46%)

Domain Information

You're looking at domain 'bongeo.bonad.io' on the British Indian Ocean Territory country-code top-level domain (.io) with subdomain 'bongeo'. The core label 'bonad' covers 5 characters holding two vowels versus 3 consonants. Breaking it apart gives two words: bona, d. Median word length comes out to 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bongeo.bonad.io/

Page Load Overview

0.22s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:212 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain46% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
46%
adult content
35%
news media journalism
34%
healthcare medical
29%
documentation technical
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113FASTLY
02a04:4e42:8e::347Frankfurt am Main, Hesse, Germany
AS54113FASTLY
12--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17F048F77329A063D86554498E057430D9F20B143B50AC9BC7ABCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ZfQho9PKBb9JsE9RHCbZgRjFtSBaw9QWgceIsz/2bMy8OldY:OhoC9J395CbZgLtSL3gcrsD2eAy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:183703:SY6rQaGsIAAISCSqAGAggAypCDKTRAFAiJAkAakEoiWMhArDAEEpkgasjAVkzYQEM5weBAApgqAIVwXGSEkUAJBA2QFAQACp

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:ff7f0303fffffefc
Perceptual Hash:962dd281d22d7c7c
Difference Hash:c0c02a4280000004
Wavelet Hash:7f7f01010f0f0f0c
Color Hash:#6cdce0

Other Hashes

Crop Resistant:c0c02a4280000004

Scan History

Scan history not available

Unable to load historical scan data