Security Scan Report: bosorioo.github.io

Submitted: Mar 29, 2026, 4:00:21 AMCompleted: Mar 29, 2026, 4:02:16 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 bosorioo.github.io and was registered NaN years ago.

Submitted URL: https://bosorioo.github.io

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

No suspicious activity detected; the site appears benign.

Safety Factors
HTTPS connection
No credential or payment collection forms
No external domains or cross‑origin requests
Low JavaScript obfuscation (normal minified code)
No redirects or URL manipulation
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🏳️

UNKNOWN

(0% confidence)

Category

unknown

(0%)

Domain Information

Domain 'bosorioo.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'bosorioo'. The core label 'github' covers 6 characters holding two vowels versus four consonants. Tokenizing the label suggests three words: g, it, hub. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bosorioo.github.io

Page Load Overview

0.22s
Total Load Time
2
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🏳️UNKNOWN
Code: unknown
Confidence:0%

Detection Details

Language Code:unknown
Detection Confidence:0%
Text Length:12 chars
Detector Agreement:0%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.199.108.153United States
21--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C29002FDB0B6004E9C2135A01CD252514924825820024E1055857564840551998131C4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxQXbZ6Y4PRE+j:qzxO96Pj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:5bacdcdabd8e6fb9f4664c1efea67de3

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:7fffffffffffffff
Perceptual Hash:870707070f0f1f3f
Difference Hash:8000000000000000
Wavelet Hash:70f0f0f0f0f0f0f0
Color Hash:#2d862d

Other Hashes

Crop Resistant:8000000000000000

Scan History

Scan history not available

Unable to load historical scan data