Summary
This website contacted 3 IPs in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is sirruslogisitics.com and was registered 18 years ago.
Submitted URL: https://sirruslogisitics.com/
AI Security Verdict
Moderate Risk
Confidence: 72%
The site is a brand‑self‑hosted placeholder on a very new, unranked domain with no malicious signals; treat as moderate risk.
Risk Factors
Safety Factors
Details
Page Title
sirruslogisitics.com
Scan Type
public
Language
English
Category
technology software
(43%)Domain Information
Within the commercial generic top-level domain (.com), 'sirruslogisitics.com' is registered without a subdomain. The registrable portion 'sirruslogisitics' spans 16 characters with six vowels and ten consonants. Breaking it apart gives 6 words: sir, rus, log, is, it, ics. 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 |
|---|---|---|---|
| 3 | 198.96.89.107 | United States | AS19318Interserver, Inc |
| 1 | 192.178.183.95Google · CDN | United States | AS15169Google LLC |
| 1 | 142.251.110.94Google · CDN | United States | AS15169Google LLC |
| 5 | 3 | - | - |
Page Statistics
Detected Technologies3
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