Summary
This website contacted 14 IPs in 3 countries across 7 domains to perform 98 HTTP transactions. The main domain is lemonde.fr.
Submitted URL: https://chandrasekaram.auto-fr-reglements.com/as.php
Effective URL: https://www.lemonde.fr/Redirected
AI Security Verdict
Confirmed Scam
Confidence: 92%
Confirmed phishing scam: impersonates Le Monde on a suspicious, likely new 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 holding 6 vowels versus ten consonants, along with two hyphens. It segments into five words: auto, fr, reg, lem, ents. The median word length lands at 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 |
|---|---|---|---|
| 89 | 146.75.122.217 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 7 | 104.21.37.193 | United States | AS13335CLOUDFLARENET |
| 7 | 18.245.86.101 | United States | AS16509AMAZON-02 |
| 7 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 7 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 7 | 2a06:98c1:3120::3 | United States | AS13335CLOUDFLARENET |
| 7 | 18.245.86.69 | United States | AS16509AMAZON-02 |
| 7 | 18.245.86.111 | United States | AS16509AMAZON-02 |
| 7 | 2606:4700:3037::6815:25c1 | United States | AS13335CLOUDFLARENET |
| 7 | 2606:4700:3034::ac43:d4ac | United States | AS13335CLOUDFLARENET |
| 98 | 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
Scan history not available
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