Summary
This website contacted 4 IPs in 1 country across 4 domains to perform 39 HTTP transactions. The main domain is danag.pages.dev and was registered NaN years ago.
Submitted URL: https://danag.pages.dev/
AI Security Verdict
High Risk
Confidence: 80%
The site shows a critical malware beacon alert on an unranked, newly‑created hosting subdomain, indicating high‑risk malware distribution.
Risk Factors
Details
Page Title
다낭 고기집 마케팅 견적서
Scan Type
public
Language
Korean
Category
social media network
(99%)Domain Information
The domain 'danag.pages.dev' uses the developer-focused generic top-level domain (.dev), featuring subdomain 'danag'. Count 5 characters in 'pages' containing 2 vowels alongside three consonants. It segments into one word: pages. The median word length lands at five 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 |
|---|---|---|---|
| 11 | 188.114.97.3 | United States | AS13335Cloudflare, Inc. |
| 9 | 104.17.25.14 | United States | AS13335Cloudflare, Inc. |
| 9 | 192.178.183.95 | United States | AS15169Google LLC |
| 9 | 142.250.154.94 | United States | AS15169Google LLC |
| 38 | 4 | - | - |
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
Unable to load historical scan data