Summary
API
Submitted URL: https://getslimms.com/
AI Security Verdict
Moderate Risk
Confidence: 62%
Supplement landing page with exaggerated weight-loss claims and unverifiable testimonials, but no forms, impersonation or malware signals; treat marketing claims with skepticism.
Risk Factors (3)
Safety Factors (4)
Details
Page Title
Dietoxil
Scan Type
public
Domain Name Analysis
Within the commercial generic top-level domain (.com), 'getslimms.com' is registered while skipping any subdomain. The core label 'getslimms' covers 9 characters split between two vowels and 7 consonants. Segmentation suggests three words: get, slim, ms. 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 |
|---|---|---|---|
| 23 | 104.21.95.36Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 172.66.41.16Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 17.253.57.206 | Frankfurt am Main, Hesse, Germany | AS6185Apple Inc. |
| 2 | 23.45.238.249Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 2 | 216.198.54.3Cloudflare · CDN | United States | AS209242Cloudflare London, LLC |
| 2 | 104.18.3.36Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 2 | 20.250.198.32Azure · CLOUD | Zurich, Zurich, Switzerland | AS8075Microsoft Corporation |
| 2 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 2 | 150.171.109.107Azure · CLOUD | United States | AS8075Microsoft Corporation |
| 2 | 52.167.81.85Azure · CLOUD | Boydton, Virginia, United States | AS8075Microsoft Corporation |
| 91 | 35 | - | - |
Detected Technologies12
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
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