Summary
This website contacted 10 IPs in 2 countries across 10 domains to perform 2 HTTP transactions. The main domain is yuma.salvationarmy.org and was registered NaN years ago.
Submitted URL: https://yuma.salvationarmy.org/yuma_corps/overcome-poverty/
The Cisco Umbrella rank of the primary domain is #146,085 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no phishing, malware, or credential‑harvesting indicators.
Safety Factors
Details
Page Title
Overcome Poverty - Yuma Corps
Scan Type
public
Language
English
Category
government public service
(63%)Domain Information
Within the non-profit oriented generic top-level domain (.org), 'yuma.salvationarmy.org' is registered and includes subdomain 'yuma'. The core label 'salvationarmy' covers 13 characters holding five vowels versus eight consonants. Splitting it apart reveals 2 words: salvation, army. Median word length comes out to 6.5 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 |
|---|---|---|---|
| 24 | 216.239.34.223 | United States | AS15169Google LLC |
| 16 | 13.226.244.121 | United States | AS16509Amazon.com, Inc. |
| 16 | 185.111.111.154 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 16 | 143.204.181.67 | United States | AS16509Amazon.com, Inc. |
| 16 | 142.251.156.119 | United States | AS15169Google LLC |
| 16 | 151.101.65.155 | United States | AS54113Fastly, Inc. |
| 16 | 54.174.246.56 | Ashburn, Virginia, United States | AS14618Amazon.com, Inc. |
| 16 | 184.24.77.168 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 16 | 16.15.0.38 | San Jose, California, United States | AS16509Amazon.com, Inc. |
| 16 | 104.17.24.14 | United States | AS13335Cloudflare, Inc. |
| 168 | 10 | - | - |
Detected Technologies26
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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