Security Scan Report: jalaldoust.github.io

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Submitted: Feb 13, 2026, 9:28:38 AMCompleted: Feb 13, 2026, 9:30:03 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is jalaldoust.github.io and was registered NaN years ago.

Submitted URL: https://jalaldoust.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%

1
Risk Score

Legitimate personal academic page with no security concerns.

Safety Factors
Absence of credential or payment forms
No malicious Indicators of Compromise
Reputable hosting platform (GitHub Pages)
Clear personal academic content
Domain age information unavailable

Details

Page Title

jalaldoust.github.io

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'jalaldoust.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io); it also runs on subdomain 'jalaldoust'. The core label 'github' covers 6 characters containing two vowels alongside 4 consonants. Word splitting yields 3 words: g, it, hub. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.13s
Total Load Time
9
HTTP Requests
1
Domains
3.3 MB
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:3,414 chars
Detector Agreement:100%

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
9185.199.111.153United States
91--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B6048E77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:9fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszA2bMy8Oldu:qhoC9JSqzzbs6o3Sj3gcrsM2eA8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184491:CGDooAAEYgcF1gEZFQClAKUMkMjAeUQGUFBEgAPBqZnyIBqgQ0Vk4AQBpdUACAgANtFIEllSEgFA0EUACMRGDiQEEigQChAo

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#2d862d

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data