Summary
This website contacted 129 IPs in 5 countries across 36 domains to perform 419 HTTP transactions. The main domain is us.upsellit.com and was registered NaN years ago.
Submitted URL: https://app.upsellit.com/
Effective URL: https://us.upsellit.com/Redirected
The Cisco Umbrella rank of the primary domain is #11,104 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Conversion Rate Optimization Agency & Services | Upsellit
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Within the commercial generic top-level domain (.com), 'app.upsellit.com' is registered; it also runs on subdomain 'app'. The core label 'upsellit' covers 8 characters with 3 vowels and five consonants. Tokenizing the label suggests three words: up, sell, it. Median word length is 2 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 |
|---|---|---|---|
| 328 | 45.56.94.164 | Fremont, California, United States | AS63949Akamai Connected Cloud |
| 35 | 74.125.133.156 | United States | AS15169GOOGLE |
| 12 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 142.250.186.131 | United States | AS15169GOOGLE |
| 6 | 104.17.92.187 | United States | AS13335CLOUDFLARENET |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 5 | 104.18.80.204 | United States | AS13335CLOUDFLARENET |
| 5 | 18.245.86.116 | United States | AS16509AMAZON-02 |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 419 | 129 | - | - |
Detected Technologies4
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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