Security Scan Report: www.faz.net

Submitted: Nov 10, 2025, 7:17:30 PMCompleted: Nov 10, 2025, 7:18:25 PMpubliccompleted
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Summary

This website contacted 78 IPs in 0 countries across 20 domains to perform 206 HTTP transactions. The main domain is faz.net and was registered NaN years ago.

Submitted URL: https://www.faz.net/aktuell/sport/mehr-sport/carlie-irsay-gordon-definiert-ihre-rolle-als-nfl-teambesitzerin-neu-accg-110770322.html

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate news article with no security concerns.

Safety Factors
Well-established domain
No malicious Indicators of Compromise
No credential or payment forms
Domain age information unavailable

Details

Page Title

Carlie Irsay-Gordon definiert ihre Rolle als NFL-Teambesitzerin neu | FAZ

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

adult content

(68%)

Domain Information

The domain 'www.faz.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'www'. Count 3 characters in 'faz' split between one vowel and two consonants. Breaking it apart gives two words: f, az. Median word length comes out to 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.faz.net/aktuell/sport/mehr-sport/carlie-irsay-gordon-definiert-ihre-rolle-als-nfl-teambesitzerin-neu-accg-110770322.html

Page Load Overview

11.74s
Total Load Time
206
HTTP Requests
20
Domains
1.9 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:16,275 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content68% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
68%
documentation technical
52%
news media journalism
40%
news/blog
35%
healthcare medical
30%

Detected Features

Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
52146.75.121.44UnknownUnknown
2141.226.228.48UnknownUnknown
223.195.23.148UnknownUnknown
223.195.23.184UnknownUnknown
2136.243.25.83UnknownUnknown
223.52.181.12UnknownUnknown
23.167.227.5UnknownUnknown
223.50.131.207UnknownUnknown
2104.26.14.31UnknownUnknown
223.195.23.181UnknownUnknown
20678--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FC255A365644A53F0453C2E9E737E184322F619BFB1E44D4F9DEC6386BA3DC2E4426A8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:rWWfiv6lOuElKOgCftfvhsUeN2OZ8tfG/bIMaCuFRjlHj5Lh/8utb0xcP654hBFo:rW+iv6lOuElKOgCftfvhsUeN2OZ8tfG7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:978056:0p4h2snIAJYCiiNRAYKEs5sIwGAIIoRGqFwkkAlUPELhBF0BSRcwc4ARQCCBsEBAILkQqAAcg6UtQTSToCMkBwAHowKUEncz

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:3c3c3c0c3c3c3c3c
Perceptual Hash:9b33c64e313169e6
Difference Hash:6969795969697969
Wavelet Hash:3c3c3c2c3c3c3c3c
Color Hash:#d279af

Other Hashes

Crop Resistant:6969795969697969

Scan History

Scan history not available

Unable to load historical scan data