Summary
This website contacted 46 IPs in 3 countries across 18 domains to perform 117 HTTP transactions. The main domain is bosfirecu.com and was registered NaN years ago.
Submitted URL: https://www.bosfirecu.com/
AI Security Verdict
Low Risk
Confidence: 78%
Site appears legitimate but hidden password field raises minor concerns.
Risk Factors
Safety Factors
Details
Page Title
Boston Firefighters Credit Union | Banking for First Responders
Scan Type
public
Language
English
Category
finance banking
(88%)Domain Information
The domain 'www.bosfirecu.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'bosfirecu' is 9 characters long split between 4 vowels and five consonants. Splitting it apart reveals three words: bos, fire, cu. Median word length comes out to 3 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 |
|---|---|---|---|
| 41 | 3.151.51.57 | Columbus, Ohio, United States | AS16509AMAZON-02 |
| 18 | 104.20.31.67 | United States | AS13335CLOUDFLARENET |
| 15 | 23.36.162.17 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 13 | 142.250.185.104 | United States | AS15169GOOGLE |
| 5 | 142.250.186.99 | United States | AS15169GOOGLE |
| 4 | 2.17.100.162 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 2.16.1.243 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 64.233.184.155 | United States | AS15169GOOGLE |
| 2 | 18.189.96.13 | Columbus, Ohio, United States | AS16509AMAZON-02 |
| 117 | 46 | - | - |
Detected Technologies5
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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