Security Scan Report: www.cafmobility.com

Submitted: Dec 30, 2025, 1:21:27 PMCompleted: Dec 30, 2025, 1:22:27 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is cafmobility.com and was registered NaN years ago.

Submitted URL: https://www.cafmobility.com/en/press-room/caf-led-consortium-awarded-comprehensive-project-naples-metro-line-10/

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Legitimate press release with minimal risk

Risk Factors
Unranked domain displaying CAF brand (potential brand impersonation)
Safety Factors
Established domain age
Official press‑release content about CAF consortium
No suspicious forms or scripts
Domain age information unavailable

Details

Page Title

Error 403

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(50%)

Domain Information

Domain 'www.cafmobility.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 11 characters in 'cafmobility' with 4 vowels and seven consonants. Breaking it apart gives two words: caf, mobility. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.cafmobility.com/en/press-room/caf-led-consortium-awarded-comprehensive-project-naples-metro-line-10/

Page Load Overview

15.95s
Total Load Time
77
HTTP Requests
11
Domains
2.8 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:11,448 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%
news/blog
40%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7735.157.26.13Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
771--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16471E869A3012803E16B80C8FEF17FCA7723CB159D46926D4DE80568C48DF61ED62369

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:lFJabs8TBvThVsp/ZranQsC8pMPU67LzwgJKce7nM/:lzOTB7hVWZr8jCLPU67PrQcV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3731:AEEAAAAEQAAAAABC0gIZgACAEQiEAxggCEIAgAAIgAACWAAAABAWgAQEAg0AIBEBEDgBgAEVAAiABAEgAMICAAABgmAAIgAh

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:0f007f3fffffffff
Perceptual Hash:810118ffffc783c1
Difference Hash:f0f0c0c000000000
Wavelet Hash:00003f3ff0f0f0f0
Color Hash:#2dd2b4

Other Hashes

Crop Resistant:f0f0c0c000000000

Scan History

Scan history not available

Unable to load historical scan data