Summary
This website contacted 9 IPs in 3 countries across 4 domains to perform 22 HTTP transactions. The main domain is core.iboost.life and was registered NaN years ago.
Submitted URL: https://core.iboost.life/
Effective URL: https://core.iboost.life/Account/Login?ReturnUrl=%2FRedirected
AI Security Verdict
Low Risk
Confidence: 85%
Site appears legitimate; minor concern due to hidden password field.
Risk Factors
Safety Factors
Details
Page Title
Iboost Core
Scan Type
public
Language
Swedish
Category
unknown
(0%)Domain Information
Domain 'core.iboost.life' uses the .life top-level domain; it also runs on subdomain 'core'. Count 6 characters in 'iboost' with three vowels and three consonants. Segmentation suggests two words: i, boost. Expect 3 characters per word on average. 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 |
|---|---|---|---|
| 17 | 20.107.224.2 | Dublin, Leinster, Ireland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 2 | 142.250.185.227 | United States | AS15169GOOGLE |
| 2 | 184.24.77.36 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 184.24.77.9 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a02:26f0:7100::1720:ee28 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a02:26f0:7100::213:c650 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a00:1450:4001:811::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 2 | 2a00:1450:4001:81d::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 142.250.185.106 | United States | AS15169GOOGLE |
| 22 | 9 | - | - |
Detected Technologies3
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
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