Summary
This website contacted 16 IPs in 2 countries across 7 domains to perform 501 HTTP transactions. The main domain is america-times.com and was registered NaN years ago.
Submitted URL: https://www.america-times.com/remarks-by-secretary-of-state-marco-rubio-at-the-c51-welcome-reception/
AI Security Verdict
High Risk
Confidence: 85%
Login form on an unranked, low‑reputation domain likely used for credential phishing.
Risk Factors
Details
Page Title
Remarks by Secretary of State Marco Rubio at the C5+1 Welcome Reception
Scan Type
public
Language
English
Category
news/blog
(70%)Domain Information
Within the commercial generic top-level domain (.com), 'www.america-times.com' is registered; it also runs on subdomain 'www'. Count 13 characters in 'america-times' holding six vowels versus 6 consonants, plus one hyphen. Word splitting yields two words: america, times. Average segment length settles 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 |
|---|---|---|---|
| 467 | 172.67.148.91 | United States | AS13335CLOUDFLARENET |
| 31 | 104.21.29.40 | United States | AS13335CLOUDFLARENET |
| 31 | 2a00:1450:4001:82a::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 31 | 2a00:1450:4001:80f::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 31 | 2606:4700:3035::ac43:945b | United States | AS13335CLOUDFLARENET |
| 31 | 2606:4700:3031::6815:1d28 | United States | AS13335CLOUDFLARENET |
| 31 | 2a00:1450:4001:829::200e | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 31 | 2a00:1450:4001:830::2002 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 31 | 2a00:1450:4001:831::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 31 | 2a00:1450:4001:812::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 501 | 16 | - | - |
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
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