Summary
This website contacted 5 IPs in 2 countries across 7 domains to perform 34 HTTP transactions. The main domain is dagim.app and was registered NaN years ago.
Submitted URL: https://dagim.app/
Effective URL: https://dagim.app/loginRedirected
AI Security Verdict
Confirmed Scam
Confidence: 92%
New, unranked site with a login form; high likelihood of credential phishing.
Risk Factors
Details
Page Title
login | Dagim
Scan Type
public
Language
English
Category
technology software
(46%)Domain Information
The domain name 'dagim.app' uses the application-focused generic top-level domain (.app). Its registrable label 'dagim' stretches across 5 characters with two vowels and three consonants. Word splitting yields 2 words: da, gim. Median word length comes out to 2.5 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 |
|---|---|---|---|
| 9 | 216.24.57.1 | United States | AS397273Render |
| 7 | 142.251.127.84 | United States | AS15169Google LLC |
| 7 | 65.8.131.9 | United States | AS16509Amazon.com, Inc. |
| 7 | 104.26.2.143 | Germany | AS397273Render |
| 7 | 146.75.120.176 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 37 | 5 | - | - |
Page Statistics
Detected Technologies7
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