Summary
This website contacted 17 IPs in 2 countries across 10 domains to perform 73 HTTP transactions. The main domain is abcnews.com and was registered NaN years ago.
Submitted URL: https://abcnews.com/US/2-dead-1-wounded-shooting-campus-south-carolina/story?id=130128754
The Cisco Umbrella rank of the primary domain is #19,392 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate news article with no security concerns.
Safety Factors
Details
Page Title
2 dead, 1 wounded in shooting on campus of South Carolina State University - ABC News
Scan Type
public
Language
English
Category
news media journalism
(56%)Domain Information
Within the commercial generic top-level domain (.com), 'abcnews.com' is registered and has no subdomain. The second-level label 'abcnews' is 7 characters long with two vowels and 5 consonants. Tokenizing the label suggests 2 words: abc, news. Expect 3.5 characters per word on average. 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 |
|---|---|---|---|
| 9 | 142.251.38.72 | United States | AS15169Google LLC |
| 4 | 3.164.206.51 | United States | AS16509Amazon.com, Inc. |
| 4 | 3.164.206.30 | United States | AS16509Amazon.com, Inc. |
| 4 | 18.165.140.63 | United States | AS16509Amazon.com, Inc. |
| 4 | 142.251.153.119 | United States | AS15169Google LLC |
| 4 | 18.165.140.65 | United States | AS16509Amazon.com, Inc. |
| 4 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 18.165.140.44 | United States | AS16509Amazon.com, Inc. |
| 4 | 3.124.119.57 | Frankfurt am Main, Hesse, Germany | AS16509Amazon.com, Inc. |
| 73 | 17 | - | - |
Detected Technologies6
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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