Security Scan Report: g1.scholarlane.online

Submitted: Dec 25, 2025, 12:37:23 PMCompleted: Dec 25, 2025, 12:38:26 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 19 HTTP transactions. The main domain is g1.scholarlane.online and was registered NaN years ago.

Submitted URL: https://g1.scholarlane.online

The Cisco Umbrella rank of the primary domain is #134,132 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
No credential or payment collection fields
No malicious Indicators of Compromise
Domain is not brand‑impersonating and lacks suspicious content
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇭🇺

HU

(50% confidence)

Category

healthcare medical

(69%)

Domain Information

The domain 'g1.scholarlane.online' uses the modern generic top-level domain (.online) and includes subdomain 'g1'. Its registrable label 'scholarlane' stretches across 11 characters with 4 vowels and seven consonants. Segmentation suggests 2 words: scholar, lane. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://g1.scholarlane.online

Page Load Overview

1.98s
Total Load Time
19
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇭🇺Hungarian
Code: hu
Confidence:50%
Script:Unknown
Direction:ltr

Detection Details

Language Code:hu
Detection Confidence:50%
Script Type:Unknown
Text Length:55 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical69% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
69%
news media journalism
66%
finance banking
61%
education learning
55%
adult content
54%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.68.119United States
AS13335CLOUDFLARENET
01--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17BB012A4A45E001D5D2032C81E82120A1818C30D3000081065A1347E8C5C52EE805180

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:j4wgJEcO9e4WOJj9kwJZxQXbZ6iF4:fFDlJtNXxO965

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:f67e1d1d4fc40d1bc103fca6b6bafd9e

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#40bf93

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

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