Security Scan Report: vijaysagi.online

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Submitted: Nov 17, 2025, 12:39:05 AMCompleted: Nov 17, 2025, 12:39:31 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is vijaysagi.online and was registered NaN years ago.

Submitted URL: https://vijaysagi.online/

AI Security Verdict

Safe Website

Confidence: 85%

1
Risk Score

No concrete malicious signs; low risk despite being a brand‑new domain.

Safety Factors
New domain but no credential or payment collection forms
Unranked domain without brand impersonation or malicious activity
Domain age information unavailable

Details

Page Title

Vijay Sagi - Data Scientist & Machine Learning Engineer

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(51%)

Domain Information

The domain name 'vijaysagi.online' uses the modern generic top-level domain (.online) and has no subdomain. Its registrable label 'vijaysagi' stretches across 9 characters with four vowels and five consonants. It segments into two words: vijay, sagi. Median word length is 4.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://vijaysagi.online/

Page Load Overview

11.38s
Total Load Time
6
HTTP Requests
1
Domains
398 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
Text Length:3,957 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software51% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
51%
education learning
38%
corporate business
37%
government public service
37%
adult content
31%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
363.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
335.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
62--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10563B7213140273E5A3BCA68F1E4B329922ED215EDB7C557F2DD01A31BC3EA5CA76294

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:IsnB7cxksc64Jysq7vGHYvY8YGYgYeYtYdwsYWYcxEpksPwYlBYlqYWsXXKpscJa:IXx/c64Jysq7vkSGNtAN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67105:gLABiIAWABIEN4gCX4RBmwGjAyAYkAhtSIQEIEPYZIQRIRQFpKAEoGmwcaSJR5RAkwAtGkFCRQHpQyABLQgkCiyKEZ8MISIB

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:f9f1f1f1f1f1f1f1
Perceptual Hash:ed92c691979f9092
Difference Hash:6323a36323236323
Wavelet Hash:f1f1f1b18191b1b1
Color Hash:#d27992

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data