Security Scan Report: abuabara.github.io

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is github.io and was registered 13 years ago.

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

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

The site is a personal academic homepage with no malicious indicators; it is legitimate.

Safety Factors (3)
Self‑branding aligns with domain
Absence of forms or credential collection
No malicious intelligence or behavior detected
Domain age information unavailable

Details

Page Title

Alexander Abuabara

Scan Type

public

Domain Name Analysis

The domain name 'abuabara.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'abuabara'. Count 6 characters in 'github' holding 2 vowels versus four consonants. It segments into 3 words: g, it, hub. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Alexander Abuabara’ tant professor" of*Indlistrial and About nies jail ‘code’: INDUSTRIAL{&:SYSTEMS ENGINEERING: MS} 33131 iMailing address: 101.Bizzell' st,, ‘College: Station, X87784323132 ° ....

Page Load Overview

0.59s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,199 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
61%
education learning
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3185.199.109.153United States
AS54113Fastly, Inc.
31--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T169A13217A9E71A0B8736120E4D9273782D2782678B1C2E06396C785DBF877522F1734F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TBvWLzwq2w3Fe5SwO6IYLSYU6Ys3MH09R8Ga6qjC9DO:VvWLzN2w3FeIwO6VbHY2hOC5O

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4885:gCBJCNCQggICAACSgAlIQADAAkAAJggBgqgBQYoSAAIIAIATAkYBAQDQKAoCEAgAUcAECEAgQQABkgAAIWUBBCJAJAEHkIA4

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:c7c7ffcfcfc7c7c7
Perceptual Hash:b1d5263319c6ce8b
Difference Hash:0c1c0018181c0c1c
Wavelet Hash:c2c6fecec6c2c2c2
Color Hash:N/A

Other Hashes

Crop Resistant:0c1c0018181c0c1c

Scan History

Scan history not available

Unable to load historical scan data