Summary
This website contacted 147 IPs in 5 countries across 45 domains to perform 196 HTTP transactions. The main domain is lindaikejisblog.com and was registered NaN years ago.
Submitted URL: https://www.lindaikejisblog.com/2025/10/model-kendall-jenner-wont-be-the-next-bond-girl-despite-speculation.html
AI Security Verdict
High Risk
Confidence: 80%
Page impersonates Instagram on an unrelated, unranked domain – high risk phishing.
Risk Factors
Details
Page Title
Model Kendall Jenner won't be the next Bond Girl despite speculation
Scan Type
public
Language
English
Category
corporate
(35%)Domain Information
Domain 'www.lindaikejisblog.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The second-level label 'lindaikejisblog' is 15 characters long split between 6 vowels and 9 consonants. It segments into five words: linda, ike, j, is, blog. Expect 3 characters per word on average. 'linda' is most common in Dutch usage. Usage also turns up in Afrikaans and Hungarian contexts. Net impression: Dutch phrase.
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 |
|---|---|---|---|
| 50 | 142.250.185.174 | United States | AS15169GOOGLE |
| 1 | 99.86.4.30 | United States | AS16509AMAZON-02 |
| 1 | 66.102.1.84 | United States | AS15169GOOGLE |
| 1 | 143.204.98.51 | United States | AS16509AMAZON-02 |
| 1 | 142.250.186.161 | United States | AS15169GOOGLE |
| 1 | 104.20.42.73 | United States | AS13335CLOUDFLARENET |
| 1 | 178.250.1.12 | France | AS44788Criteo Technology SAS |
| 1 | 34.107.217.107 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 184.24.77.10 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 143.204.98.46 | United States | AS16509AMAZON-02 |
| 196 | 147 | - | - |
Detected Technologies19
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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