Summary
This website contacted 9 IPs in 4 countries across 10 domains to perform 1 HTTP transaction. The main domain is account.mekari.com and was registered NaN years ago.
Submitted URL: https://my.jurnal.id
Effective URL: https://account.mekari.com/users/sign_in?client_id=JUR-7645867921&return_to=L2F1dGg_Y2xpZW50X2lkPUpVUi03NjQ1ODY3OTIxJnJlc3BvbnNlX3R5cGU9Y29kZSZzY29wZT1zc28lM0Fwcm9maWxlRedirected
The Cisco Umbrella rank of the primary domain is #494,273 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate Mekari login page; no security concerns detected.
Safety Factors
Details
Bot Protection Detected
This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.
Page Title
Mekari Account
Scan Type
public
Language
ID
Category
news media journalism
(37%)Domain Information
The domain name 'my.jurnal.id' uses the Indonesian country-code top-level domain (.id) and includes subdomain 'my'. The core label 'jurnal' covers 6 characters with 2 vowels and 4 consonants. Splitting it apart reveals two words: jur, nal. Median word length is three characters. No strong language cues emerged from the frequency lists.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 11 | 45.60.3.161 | United States | AS19551INCAPSULA |
| 9 | 3.161.82.96 | Finland | |
| 9 | 149.129.201.12 | Jakarta, Jakarta, Indonesia | AS45102Alibaba US Technology Co., Ltd. |
| 9 | 142.250.185.168 | United States | |
| 9 | 151.101.193.229 | Germany | |
| 9 | 35.186.235.23 | Unknown | |
| 9 | 149.129.215.88 | Unknown | |
| 9 | 142.250.184.206 | Unknown | |
| 9 | 104.17.25.14 | Unknown | |
| 83 | 9 | - | - |
Detected Technologies14
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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