Summary
This website contacted 21 IPs in 2 countries across 11 domains to perform 84 HTTP transactions. The main domain is ledzepnews.com and was registered NaN years ago.
Submitted URL: https://ledzepnews.com/2025/11/13/robert-plants-wikipedia-page-spread-false-information-about-a-fake-netflix-series/
AI Security Verdict
High Risk
Confidence: 88%
High risk due to brand impersonation and circular redirect; avoid interaction.
Risk Factors
Details
Page Title
Robert Plant's Wikipedia page spread false information about a fake Netflix series - Led Zeppelin News
Scan Type
public
Language
English
Category
news/blog
(60%)Domain Information
The domain name 'ledzepnews.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'ledzepnews' stretches across 10 characters with three vowels and seven consonants. Splitting it apart reveals three words: led, zep, news. Median word length is 3 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 |
|---|---|---|---|
| 4 | 142.250.186.163 | United States | AS15169GOOGLE |
| 4 | 45.136.31.195 | Nuremberg, Bavaria, Germany | AS197540netcup GmbH |
| 4 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 216.58.206.42 | United States | AS15169GOOGLE |
| 4 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 104.20.20.192 | United States | AS13335CLOUDFLARENET |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 142.250.186.67 | United States | AS15169GOOGLE |
| 4 | 172.66.171.172 | United States | AS13335CLOUDFLARENET |
| 84 | 21 | - | - |
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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