Security Scan Report: trinculo54.github.io

Submitted: Dec 31, 2025, 12:05:31 AMCompleted: Dec 31, 2025, 12:07:19 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 2 domains to perform 20 HTTP transactions. The main domain is trinculo54.github.io and was registered NaN years ago.

Submitted URL: https://trinculo54.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: 92%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Hosted on GitHub Pages (trusted platform)
Established domain with long registration history
Domain age information unavailable

Details

Page Title

trinculo54.github.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'trinculo54.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'trinculo54'. The second-level label 'github' is 6 characters long with 2 vowels and four consonants. Splitting it apart reveals 3 words: g, it, hub. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://trinculo54.github.io

Page Load Overview

15.69s
Total Load Time
4
HTTP Requests
2
Domains
14 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:41 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2185.199.109.153United States
AS54113FASTLY
1104.17.25.14United States
1104.17.24.14United States
AS13335CLOUDFLARENET
43--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A311EAF6E5AD4B813B08EA056C7B486C6BDC803C5ED58B5B07F507F6EC2BA484D3114

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:PzhjS3CrMVhVEmIIjUGQ04UiV5ZlJ9jt03D2x:PFj4JTG9IbQ04HTxtsyx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1729:CUQAAAUBIAAEIAAAABAoAAEMBAAAgAAgIBIAIAAAABIAAAACAAEAAQCAACAAAAAAQAIEABAAGBCIAAAAAAAAC0AAAAAgUAgC

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:8fffffffffffffff
Perceptual Hash:b83838383c3c3d7d
Difference Hash:3000000000000000
Wavelet Hash:81ffffff00000000
Color Hash:#8640bf

Other Hashes

Crop Resistant:3000000000000000

Scan History

Scan history not available

Unable to load historical scan data