Summary
This website contacted 67 IPs in 4 countries across 17 domains to perform 89 HTTP transactions. The main domain is savethechildren.org and was registered NaN years ago.
Submitted URL: https://www.savethechildren.org/us/about-us/leadership-and-trustees/jennifer-garner
AI Security Verdict
Safe Website
Confidence: 95%
The page appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Jennifer Garner | Save The Children
Scan Type
public
Language
English
Category
government public service
(29%)Domain Information
You're looking at domain 'www.savethechildren.org' on the non-profit oriented generic top-level domain (.org) with subdomain 'www'. The registrable portion 'savethechildren' spans 15 characters holding 5 vowels versus 10 consonants. It segments into three words: save, the, children. Median word length comes out to 4 characters. The linguistic tilt is Chinese (Pinyin) for 'save'. Secondary signals appear in English and Chinese (Zhuyin).
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 |
|---|---|---|---|
| 57 | 104.18.4.221 | United States | AS13335CLOUDFLARENET |
| 23 | 52.48.198.178 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 7 | 142.251.140.168 | United States | AS15169GOOGLE |
| 5 | 23.35.236.237 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 52.16.67.149 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 3 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 2 | 13.32.121.124 | New York, New York, United States | AS16509AMAZON-02 |
| 2 | 216.239.32.36 | United States | AS15169GOOGLE |
| 1 | 63.35.144.78 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 142.250.74.206 | United States | AS15169GOOGLE |
| 89 | 67 | - | - |
Detected Technologies12
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
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