Security Scan Report: shushilgroupofcollege.online

Submitted: Feb 26, 2026, 5:14:05 PMCompleted: Feb 26, 2026, 5:15:16 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is shushilgroupofcollege.online and was registered NaN years ago.

Submitted URL: https://shushilgroupofcollege.online/courses/

AI Security Verdict

Confirmed Scam

Confidence: 85%

9
Risk Score

High risk due to brand impersonation on a brand‑new unranked domain; likely phishing.

Risk Factors
Brand impersonation on an unranked, brand‑new domain
Domain age < 7 days (critical risk)
Domain not in Cisco Umbrella top 1 M
Domain age information unavailable

Details

Page Title

Courses – SGC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'shushilgroupofcollege.online' uses the modern generic top-level domain (.online) and has no subdomain. The core label 'shushilgroupofcollege' covers 21 characters with 8 vowels and 13 consonants. Breaking it apart gives 5 words: shushi, l, group, of, college. Expect 5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shushilgroupofcollege.online/courses/

Page Load Overview

2.98s
Total Load Time
33
HTTP Requests
1
Domains
276 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:2,528 chars
Detector Agreement:67%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3392.113.23.67Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
331--

Detected Technologies12

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E232B3265BE047AA3CB83E49460B318A9A9C22BDA418E24B3FD535C9FD0DF9147374D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Z18ZdypJwMGJu3gRkuQskXkcGRWnrhngCKSYepE+25StpWo0sCk:ZSyp5gRkuQskXkcGRGhngIYepE+mStpz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:46581:hQYAxOgoFEkikDBIloq3OUNcDrViWWECiPQAJoByBBHAhgAQpgTJhxlCktEk4AFAEoFQSCICIAyJBADRQQjGRKDhsCxE72OG

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:00ffffff0000ffff
Perceptual Hash:f7ffd050746a6005
Difference Hash:9c00432394944000
Wavelet Hash:00ffffff000000ff
Color Hash:#e08b6c

Scan History

Scan history not available

Unable to load historical scan data