Security Scan Report: uc-love-data-week.github.io

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Submitted: Sep 6, 2026, 8:45:43 PMCompleted: Sep 6, 2026, 8:47:11 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The page shows self‑branding, contains no forms or malicious indicators, and is hosted on a trusted platform; low risk.

Safety Factors (3)
Self‑branding aligns with domain
Content is informational and event‑focused
Hosted on reputable GitHub Pages platform
Domain age information unavailable

Details

Page Title

UC Love Data Week

Scan Type

public

Domain Name Analysis

Domain 'uc-love-data-week.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'uc-love-data-week'. The core label 'github' covers 6 characters split between 2 vowels and 4 consonants. Tokenizing the label suggests 3 words: g, it, hub. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uc-love-data-week.github.io

Page Load Overview

1.66s
Total Load Time
5.9 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:93,910 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9185.199.111.153United States
AS54113Fastly, Inc.
6192.178.183.95Google · CDNUnited States
AS15169Google LLC
6192.178.183.97Google · CDNUnited States
AS15169Google LLC
6142.251.110.94Google · CDNUnited States
AS15169Google LLC
6216.239.32.36Google · CDNUnited States
AS15169Google LLC
6185.199.110.153United States
AS54113Fastly, Inc.
6185.199.108.153United States
AS54113Fastly, Inc.
6185.199.109.153United States
AS54113Fastly, Inc.
6142.251.127.97Google · CDNUnited States
AS15169Google LLC
579--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B07174D32F48867906665A733BBBF01CE566D117D1F64D21F8EE20190FE2EA78573224

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:T/rCSpANwggVNrHirUrZbrI1MFFHbWgNrLxkAkZ5jcjy:T/WSpAKHN5RBJNRkB3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3565:CAAxhSgAwAAEAFGBEKCEAVwABACAACAoIAgGJEAIAgAAQAIAAAAEAhSBCAAhALEISJAJUAEgCRAAQgpTAACDCACiQQBECQGQ

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:00dfffffffffffff
Perceptual Hash:bc62431b476f4746
Difference Hash:c91f163636383800
Wavelet Hash:00c383838b8f8fff
Color Hash:#2d3ad2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data