Summary
This website contacted 14 IPs in 2 countries across 7 domains to perform 105 HTTP transactions. The main domain is lemonde.fr.
Submitted URL: https://chandrasekaram.auto-fr-reglements.com/
Effective URL: https://www.lemonde.fr/Redirected
AI Security Verdict
High Risk
Confidence: 88%
High‑risk phishing page impersonating Le Monde on a suspicious domain
Risk Factors
Details
Page Title
Le Monde.fr - Actualités et Infos en France et dans le monde
Scan Type
public
Language
French
Category
technology software
(95%)Domain Information
The domain 'chandrasekaram.auto-fr-reglements.com' uses the commercial generic top-level domain (.com) with subdomain 'chandrasekaram'. The core label 'auto-fr-reglements' covers 18 characters split between 6 vowels and ten consonants, plus two hyphens. Breaking it apart gives 5 words: auto, fr, reg, lem, ents. Median word length comes out to three 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 |
|---|---|---|---|
| 96 | 146.75.122.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 7 | 18.245.86.4 | United States | AS16509AMAZON-02 |
| 7 | 18.245.86.69 | United States | AS16509AMAZON-02 |
| 7 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 7 | 2606:4700:3034::ac43:d4ac | United States | AS13335CLOUDFLARENET |
| 7 | 2606:4700:3037::6815:25c1 | United States | AS13335CLOUDFLARENET |
| 7 | 2a06:98c1:3120::3 | United States | AS13335CLOUDFLARENET |
| 7 | 18.245.86.101 | United States | AS16509AMAZON-02 |
| 7 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 7 | 104.21.37.193 | United States | AS13335CLOUDFLARENET |
| 105 | 14 | - | - |
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
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