Security Scan Report: pourmontferrier.fr

Redirected to:
https://www.pourmontferrier.fr/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 9 IPs in 3 countries across 11 domains to perform 84 HTTP transactions. The main domain is pourmontferrier.fr and was registered 11 months ago.

Submitted URL: https://pourmontferrier.fr

Effective URL:
https://www.pourmontferrier.fr/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Legitimate-looking French municipal campaign site whose WordPress install is compromised: an injected ErrTraffic/Exvicy loader, EtherHiding blockchain payload retrieval and exploit-kit check-ins make it unsafe to visit.

Risk Factors (5)
Compromised WordPress installation serving an injected exploit-kit loader (ErrTraffic/Exvicy)
Blockchain-based (EtherHiding) payload retrieval used to evade takedown
Heavily obfuscated inline JavaScript hiding malicious network destinations
Critical and high network IDS alerts for exploit-kit check-in and malware exfiltration
Blockchain RPC and spam-listed address traffic observed from the page
Domain age information unavailable

Details

Page Title

Frédéric GUEYDAN • Elections Montferrier-sur-Lez 2026

Scan Type

public

Domain Name Analysis

You're looking at domain 'pourmontferrier.fr' on the French country-code top-level domain (.fr) while skipping any subdomain. Its registrable label 'pourmontferrier' stretches across 15 characters containing 6 vowels alongside 9 consonants. Breaking it apart gives three words: pour, mont, ferrier. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pourmontferrier.fr

Page Load Overview

28.46s
Total Load Time
1.1 MB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:fr-FR
Text Length:322 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network99% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
99%
technology software
84%
news media journalism
41%
government public service
36%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12188.165.53.185France
AS16276OVH SAS
9142.251.14.95Google · CDNUnited States
AS15169Google LLC
9142.251.110.97Google · CDNUnited States
AS15169Google LLC
9150.136.141.142Oracle · CLOUDAshburn, Virginia, United States
AS31898Oracle Corporation
9216.239.32.36Google · CDNUnited States
AS15169Google LLC
9178.16.52.101Frankfurt am Main, Hesse, Germany
AS202412Omegatech LTD
9142.250.154.94Google · CDNUnited States
AS15169Google LLC
9142.251.14.94Google · CDNUnited States
AS15169Google LLC
9216.239.34.36Google · CDNUnited States
AS15169Google LLC
849--

Detected Technologies14

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A72440923E23912DB23F146FA043A96D35249CCBC53E66DBF8605217F5FAE953390B06

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:T2fGCrAIV/Ij99DykbPMPOOejoMhLyi1yUcT6am4IasDLu+zYzgZljZlRgCVuFXw:T2fn5Ij9Zvamu+zYzk8Bw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:210125:pwKXkhCUKBTAAGFo6IgCIAARy6QVSAFChLBkQ94EL6ALAJIGEJHKCUsQLlAwAADAjUphDVBkc2wErqUgIREksAHDxtIDB+QA

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

Average Hash:ffffffe7e7ffffff
Perceptual Hash:e699992666c99936
Difference Hash:0000000c0c000000
Wavelet Hash:3c3c3c24e0f8f0f0
Color Hash:#4082bf

Other Hashes

Crop Resistant:0000000c0c000000

Scan History

Scan history not available

Unable to load historical scan data