Summary
This website contacted 8 IPs in 2 countries across 8 domains to perform 33 HTTP transactions. The main domain is yolocast.yololiv.com and was registered NaN years ago.
Submitted URL: https://yolocast.yololiv.com
Effective URL: https://yolocast.yololiv.com/user/login?redirect=/broadcastsRedirected
The Cisco Umbrella rank of the primary domain is #922,751 of the top 1 million websites
AI Security Verdict
High Risk
Confidence: 80%
High‑risk phishing page likely harvesting passwords; do not submit credentials.
Risk Factors
Details
Page Title
YoloCast
Scan Type
public
Language
English
Category
documentation technical
(64%)Domain Information
The domain name 'yolocast.yololiv.com' uses the commercial generic top-level domain (.com) and includes subdomain 'yolocast'. Its registrable label 'yololiv' stretches across 7 characters with three vowels and 4 consonants. It segments into 3 words: yo, l, oliv. Median word length comes out to two 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 |
|---|---|---|---|
| 20 | 49.51.67.196 | Santa Clara, California, United States | AS132203Tencent Building, Kejizhongyi Avenue |
| 9 | 142.251.127.84 | United States | AS15169Google LLC |
| 4 | 3.171.214.66 | United States | AS16509Amazon.com, Inc. |
| 4 | 142.251.141.104 | United States | AS15169Google LLC |
| 4 | 43.157.70.167 | Frankfurt am Main, Hesse, Germany | AS132203Tencent Building, Kejizhongyi Avenue |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934Facebook, Inc. |
| 4 | 23.50.131.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 34.160.81.0 | Kansas City, Missouri, United States | AS396982Google LLC |
| 37 | 8 | - | - |
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
Scan history not available
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