Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is kanuoertaoci.com and was registered NaN years ago.
Submitted URL: http://kanuoertaoci.com/
Effective URL: https://kanuoertaoci.com/Redirected
AI Security Verdict
Low Risk
Confidence: 72%
The site is a newly registered, unranked streaming page with no credential collection or malware signs; treat as moderate risk.
Risk Factors
Safety Factors
Details
Page Title
在线电影网-五月丁香综合激情,免费高清影视在线观看_最新电影电视剧综艺动漫
Scan Type
public
Language
Chinese
Category
entertainment media
(71%)Domain Information
The domain 'kanuoertaoci.com' uses the commercial generic top-level domain (.com) with no subdomain. The registrable portion 'kanuoertaoci' spans 12 characters split between seven vowels and five consonants. Segmentation suggests 5 words: kanu, o, ert, aoc, i. Median word length is three 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 |
|---|---|---|---|
| 17 | 154.38.240.203 | United States | AS18186Nebula Global LLC |
| 17 | 140.188.146.93 | San Jose, California, United States | AS54600PEG TECH INC |
| 34 | 2 | - | - |
Page Statistics
Detected Technologies1
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
Unable to load historical scan data