Summary
This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is sylogist.com and was registered NaN years ago.
Submitted URL: https://oked.sylogist.com
Effective URL: https://www.sylogist.com/ed/Redirected
The Cisco Umbrella rank of the primary domain is #230,819 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 80%
Password‑only field suggests credential harvesting; classified as high‑risk phishing site.
Risk Factors
Details
Page Title
One moment, please...
Scan Type
public
Language
English
Category
government public service
(37%)Domain Information
The domain name 'oked.sylogist.com' uses the commercial generic top-level domain (.com) and includes subdomain 'oked'. Count 8 characters in 'sylogist' split between two vowels and 6 consonants. Word splitting yields three words: syl, ogi, st. Median word length comes out to 3 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 |
|---|---|---|---|
| 99 | 198.100.159.124 | Montreal, Quebec, Canada | AS16276OVH SAS |
| 99 | 13.86.123.107 | Des Moines, Iowa, United States | AS8075Microsoft Corporation |
| 198 | 2 | - | - |
Detected Technologies13
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Unable to load historical scan data