Summary
This website contacted 16 IPs in 2 countries across 3 domains to perform 83 HTTP transactions. The main domain is energycapitalpower.com and was registered NaN years ago.
Submitted URL: https://energycapitalpower.com/angola-azule-energy-divests-block-14-14k-stakes/
AI Security Verdict
Moderate Risk
Confidence: 70%
Page shows unrelated brand branding on a well‑established domain; treat cautiously.
Risk Factors
Safety Factors
Details
Page Title
Angola: Azule Energy Divests Block 14, 14K Stakes
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
The domain name 'energycapitalpower.com' uses the commercial generic top-level domain (.com) with no subdomain. The second-level label 'energycapitalpower' is 18 characters long split between seven vowels and eleven consonants. Segmentation suggests three words: energy, capital, power. The median word length lands at 6 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 |
|---|---|---|---|
| 8 | 3.5.139.93 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 3.5.135.168 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 104.21.43.162 | United States | AS13335CLOUDFLARENET |
| 5 | 3.5.136.204 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 3.5.134.199 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 3.5.136.144 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 52.219.169.222 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 3.5.137.204 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 5 | 172.67.181.112 | United States | AS13335CLOUDFLARENET |
| 5 | 104.16.79.73 | United States | AS13335CLOUDFLARENET |
| 83 | 16 | - | - |
Detected Technologies11
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