Summary
This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is jn1-fhiwb7e65o7ihn734y7i23452v34.kawata2.workers.dev and was registered NaN years ago.
Submitted URL: http://jn1-fhiwb7e65o7ihn734y7i23452v34.kawata2.workers.dev/
Effective URL: https://jn1-fhiwb7e65o7ihn734y7i23452v34.kawata2.workers.dev/Redirected
AI Security Verdict
High Risk
Confidence: 92%
High‑risk credential phishing site impersonating Juno, exfiltrating credentials to an external domain with critical malware alerts.
Risk Factors
Details
Page Title
Welcome
Scan Type
public
Language
UNKNOWN
Category
unknown
(0%)Domain Information
The domain 'jn1-fhiwb7e65o7ihn734y7i23452v34.kawata2.workers.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'jn1-fhiwb7e65o7ihn734y7i23452v34.kawata2'. Its registrable label 'workers' stretches across 7 characters split between 2 vowels and 5 consonants. Tokenizing the label suggests one word: workers. 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 |
|---|---|---|---|
| 3 | 172.67.172.140Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 1 | - | - |
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