Summary
This website contacted 196 IPs in 9 countries across 72 domains to perform 224 HTTP transactions. The main domain is efinancialcareers.com and was registered NaN years ago.
Submitted URL: https://www.efinancialcareers.com/news/marc-rowan
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Marc Rowan: the humble Apollo CEO who would be US Treasury secretary
Scan Type
public
Language
US
Category
education learning
(54%)Domain Information
The domain 'www.efinancialcareers.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'www'. Its registrable label 'efinancialcareers' stretches across 17 characters with 8 vowels and 9 consonants. Splitting it apart reveals 3 words: e, financial, careers. Median word length is 7 characters. Most frequently, 'e' shows up in Italian. Usage also turns up in Albanian and Galician contexts. Net impression: Italian phrase.
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 |
|---|---|---|---|
| 29 | 142.250.186.162 | United States | AS15169GOOGLE |
| 1 | 52.18.246.65 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 3.171.214.3 | United States | AS16509AMAZON-02 |
| 1 | 142.250.181.226 | United States | AS15169GOOGLE |
| 1 | 142.250.185.65 | United States | AS15169GOOGLE |
| 1 | 127.0.0.1 | Unknown | |
| 1 | 34.199.74.248 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 104.18.26.193 | United States | AS13335CLOUDFLARENET |
| 1 | 79.127.211.90 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 224 | 196 | - | - |
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
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