Summary
API
This website contacted 1 IP in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is pub-7a2b04c21af84571a3f3be6ced955d5d.r2.dev and was registered 4 years 1 month ago.
Submitted URL: https://pub-7a2b04c21af84571a3f3be6ced955d5d.r2.dev/R343.html
AI Security Verdict
High Risk
Confidence: 85%
Disposable R2-hosted page running an analyst-vetted Turnstile-gate phishing loader that hides a base64 next-stage URL and pulls sc.php from a third-party host — treat as active phishing infrastructure.
Risk Factors (5)
Details
Page Title
N/A
Scan Type
public
Domain Name Analysis
Within the developer-focused generic top-level domain (.dev), 'pub-7a2b04c21af84571a3f3be6ced955d5d.r2.dev' is registered; it also runs on subdomain 'pub-7a2b04c21af84571a3f3be6ced955d5d'. Its registrable label 'r2' stretches across 2 characters with zero vowels and one consonant, along with 1 digit. Tokenizing the label suggests 2 words: r, 2. Median word length is 1 character. 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 | 104.18.54.45Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 3 | 1 | - | - |
Detected Technologies5
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