Summary
This website contacted 21 IPs in 4 countries across 7 domains to perform 48 HTTP transactions. The main domain is claim-yieldbasis.app and was registered NaN years ago.
Submitted URL: https://claim-yieldbasis.app/?NiceTryScvmbagIvan
AI Security Verdict
Confirmed Scam
Confidence: 96%
Confirmed phishing scam; do not enter credentials and report the site.
Risk Factors
Details
Page Title
claim-yieldbasis.app
Scan Type
public
Language
English
Category
cryptocurrency blockchain
(48%)Domain Information
Domain 'claim-yieldbasis.app' uses the application-focused generic top-level domain (.app) while skipping any subdomain. Count 16 characters in 'claim-yieldbasis' containing six vowels alongside 9 consonants, notching 1 hyphen. It segments into three words: claim, yield, basis. Median word length comes out to 5 characters. The linguistic tilt is English for 'claim'. Secondary signals appear in Chinese (Pinyin) and Dutch.
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 |
|---|---|---|---|
| 8 | 1.1.1.1 | Australia | AS13335CLOUDFLARENET |
| 2 | 142.250.185.234 | United States | AS15169GOOGLE |
| 2 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 37.16.75.129 | Haarlem, North Holland, Netherlands | AS43641SOLLUTIUM EU Sp z.o.o. |
| 2 | 104.18.19.237 | United States | AS13335CLOUDFLARENET |
| 2 | 142.250.181.227 | United States | AS15169GOOGLE |
| 2 | 104.18.18.237 | United States | AS13335CLOUDFLARENET |
| 2 | 172.66.157.155 | United States | AS13335CLOUDFLARENET |
| 2 | 2606:4700::6810:aee2 | United States | AS13335CLOUDFLARENET |
| 2 | 2a00:1450:4001:830::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 48 | 21 | - | - |
Detected Technologies6
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
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