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Security Scan Report: couvreur-savoie73.fr

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Submitted: May 21, 2026, 9:53:46 AMCompleted: May 21, 2026, 9:55:40 AMpubliccompleted

Summary

This website contacted 5 IPs in 1 country across 8 domains to perform 24 HTTP transactions. The main domain is couvreur-savoie73.fr and was registered 3 months ago.

Submitted URL: https://couvreur-savoie73.fr/couverture-montmelian-73800/

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site is newly registered and forwards contact forms to an external endpoint; no clear phishing or malware signs, but moderate risk due to age and external form handling.

Risk Factors
New domain (<90 days) increases suspicion
Cross‑origin form submission to an external service
High JavaScript obfuscation score
Safety Factors
Self‑branding matches the domain (no brand impersonation)
Physical address and phone number displayed
No credential or payment fields collected
No malicious IoC, YARA, or IDS detections
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 5
Domain age information unavailable

Details

Page Title

Couverture &amp; Pose de toiture Montmélian 73800 | Couvreur Savoie

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

real estate property

(42%)

Domain Information

Domain 'couvreur-savoie73.fr' uses the French country-code top-level domain (.fr) without a subdomain. The second-level label 'couvreur-savoie73' is 17 characters long containing eight vowels alongside six consonants; bonus characters include two digits and 1 hyphen. Tokenizing the label suggests four words: couvre, ur, savoie, 73. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of cdn.dexem.net

Page Load Overview

11.13s
Total Load Time
31
HTTP Requests
8
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:20,695 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property42% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

real estate property
42%
documentation technical
33%
adult content
30%
government public service
27%
corporate
25%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
713.226.244.58United States
AS16509Amazon.com, Inc.
6142.251.110.97United States
AS15169Google LLC
6188.114.96.3United States
AS13335Cloudflare, Inc.
6142.251.110.94United States
AS15169Google LLC
6142.250.154.95United States
AS15169Google LLC
315--

Page Statistics

31
Requests
8
Unique Domains
1.3 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CCC3E721A1E1203A6077E1E1BE60A7AF7524D407C5470358F6EE52998BC7CFB1B6378D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dXoNMEfRuk7Tg4Y3s6szcVIlIIxCyGpgvUJ9vTKrkk6ZmGD:Krhyy+qMXJ9E6ZmGD

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:119472:wAQBkiDABASEAFIA2gJ4A9QlAoAfFCCgXACYU5AUYAChYBIL5EKXhqwFYemQiCEDQYosU685gIANACRAwAEoCAm0AKwBvAKM

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:ff00000000f9ffff
Perceptual Hash:c916f1e916cd1273
Difference Hash:2ba9f1212d33133c
Wavelet Hash:ff00000000ffffff
Color Hash:#c5bb87

Other Hashes

Crop Resistant:2ba9f1212d33133c,040429d2d20d0280,110d3133330d2101,80e87160b0aaaa61,502c89d19c8c6340

Scan History

Scan history not available

Unable to load historical scan data