Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is sethcurrens.com and was registered NaN years ago.
Submitted URL: https://sethcurrens.com/learn/social-security-timing.html
Effective URL: https://sethcurrens.com/gate.html?next=%2Flearn%2Fsocial-security-timing.htmlRedirected
AI Security Verdict
Confirmed Scam
Confidence: 88%
New domain with a password‑only form indicates credential phishing; classify as confirmed scam.
Risk Factors
Details
Page Title
Seth Currens · Private preview
Scan Type
public
Language
English
Category
blog personal website
(39%)Domain Information
The domain 'sethcurrens.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'sethcurrens' stretches across 11 characters with 3 vowels and 8 consonants. It segments into 2 words: seth, currens. Expect 5.5 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 |
|---|---|---|---|
| 5 | 142.250.154.95Google · CDN | United States | AS15169Google LLC |
| 5 | 185.199.111.153 | United States | AS54113Fastly, Inc. |
| 10 | 2 | - | - |
Detected Technologies2
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