Summary
This website contacted 129 IPs in 3 countries across 23 domains to perform 78 HTTP transactions. The main domain is folioz.ca and was registered NaN years ago.
Submitted URL: https://www.folioz.ca/kacewinsight-siw/who-is-chicago-police-superintendent-larry-snelling/
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security concerns and appears legitimate.
Safety Factors
Details
Page Title
Who's Leading Chicago's Police Force? Meet Superintendent Larry Snelling
Scan Type
public
Language
English
Category
government public service
(59%)Domain Information
The domain name 'www.folioz.ca' uses the Canadian country-code top-level domain (.ca); it also runs on subdomain 'www'. Count 6 characters in 'folioz' with 3 vowels and three consonants. Word splitting yields 2 words: folio, z. Expect 3 characters per word on average. 'z' most strongly signals Polish. It also appears in Slovenian and Esperanto contexts. Net impression: Polish phrase.
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 |
|---|---|---|---|
| 78 | 150.171.27.10 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 0 | 104.20.5.22 | United States | AS13335CLOUDFLARENET |
| 0 | 172.240.253.132 | United States | AS7979SERVERS-COM |
| 0 | 142.250.185.78 | United States | AS15169GOOGLE |
| 0 | 142.250.185.246 | United States | AS15169GOOGLE |
| 0 | 142.250.184.234 | United States | AS15169GOOGLE |
| 0 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 192.0.66.226 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 0 | 104.21.94.182 | United States | AS13335CLOUDFLARENET |
| 0 | 142.250.185.130 | United States | AS15169GOOGLE |
| 78 | 129 | - | - |
Detected Technologies5
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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