Summary
This website contacted 46 IPs in 3 countries across 13 domains to perform 226 HTTP transactions. The main domain is becker.com and was registered NaN years ago.
Submitted URL: https://www.becker.com/blog/cma/what-does-cfo-do
The Cisco Umbrella rank of the primary domain is #71,234 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
The CFO Job Description | Becker
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
The domain 'www.becker.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The core label 'becker' covers 6 characters containing 2 vowels alongside four consonants. Word splitting yields one word: becker. 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 |
|---|---|---|---|
| 193 | 104.18.5.36 | United States | AS13335CLOUDFLARENET |
| 7 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 4 | 98.89.109.81 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 104.18.32.137 | United States | AS13335CLOUDFLARENET |
| 4 | 95.100.146.74 | Prague, Prague, Czech Republic | AS20940Akamai International B.V. |
| 4 | 95.100.146.64 | Prague, Prague, Czech Republic | AS20940Akamai International B.V. |
| 4 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 4 | 104.18.4.36 | United States | AS13335CLOUDFLARENET |
| 4 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 226 | 46 | - | - |
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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