Summary
This website contacted 221 IPs in 11 countries across 153 domains to perform 468 HTTP transactions. The main domain is sicem365.com and was registered NaN years ago.
Submitted URL: https://sicem365.com/s/20390/the-bear-cast-reactions-to-mack-rhoades-leave-of-absence
AI Security Verdict
Safe Website
Confidence: 92%
No security concerns detected; site appears legitimate.
Safety Factors
Details
Page Title
The Bear Cast: Reactions to Mack Rhoades' Leave of Absence | SicEm365
Scan Type
public
Domain Information
The domain name 'sicem365.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'sicem365' covers 8 characters with 2 vowels and three consonants; it also includes three digits. Segmentation suggests 3 words: sice, m, 365. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 28 | 3.230.246.169 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 2 | 20.150.70.36 | San Antonio, Texas, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 37.252.171.85 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 2 | 80.77.87.161 | Clifton, New Jersey, United States | AS46636NATCOWEB |
| 2 | 104.20.23.13 | United States | AS13335CLOUDFLARENET |
| 2 | 141.95.98.64 | France | AS16276OVH SAS |
| 2 | 172.66.0.227 | United States | AS13335CLOUDFLARENET |
| 2 | 35.244.159.8 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 103.231.98.106 | Japan | AS62713AS-PUBMATIC |
| 468 | 221 | - | - |
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
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