Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 3 HTTP transactions. The main domain is becu.org and was registered NaN years ago.
Submitted URL: https://malta-ds.info/
Effective URL: https://www.becu.org/blog/what-are-the-downsides-of-payday-loansRedirected
AI Security Verdict
Safe Website
Confidence: 92%
Legitimate financial article with no security concerns.
Safety Factors
Details
Page Title
What Are the Downsides of Payday Loans? | BECU
Scan Type
public
Language
English
Category
finance banking
(89%)Domain Information
Domain 'malta-ds.info' uses the informational generic top-level domain (.info) and has no subdomain. Count 8 characters in 'malta-ds' with two vowels and five consonants; bonus characters include 1 hyphen. Breaking it apart gives two words: malta, ds. Expect 3.5 characters per word on average. 'mala' is most common in Slovak usage. You will also see it in Portuguese and German contexts.
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 |
|---|---|---|---|
| 2 | 159.60.130.35 | United States | AS35280F5 Networks SARL |
| 1 | 162.243.164.199 | North Bergen, New Jersey, United States | AS14061DIGITALOCEAN-ASN |
| 3 | 2 | - | - |
Detected Technologies14
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