Security Scan Report: iphone-ticker.de

Redirected to: https://www.iphone-ticker.de/

Site favicon
Submitted: Mar 3, 2026, 9:24:42 AMCompleted: Mar 3, 2026, 9:26:06 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 4 domains to perform 1 HTTP transaction. The main domain is iphone-ticker.de.

Submitted URL: https://iphone-ticker.de

Effective URL: https://www.iphone-ticker.de/Redirected

The Cisco Umbrella rank of the primary domain is #414,195 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Legitimate iPhone news site; no phishing or malware indicators detected.

Safety Factors
Informational site with no credential or payment collection
Meta description clearly states purpose (iPhone news) and affiliation with ifun.de
No suspicious redirects or cross‑origin credential submissions
Domain age information unavailable

Details

Page Title

iphone-ticker.de – Alles zum iPhone. Seit 2007.

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

social media network

(63%)

Domain Information

The domain name 'iphone-ticker.de' uses the German country-code top-level domain (.de). The second-level label 'iphone-ticker' is 13 characters long holding five vowels versus 7 consonants, along with one hyphen. Tokenizing the label suggests 2 words: iphone, ticker. Average segment length settles at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://iphone-ticker.de

Page Load Overview

3.49s
Total Load Time
95
HTTP Requests
4
Domains
3.0 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:17,486 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network63% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
63%
entertainment media
55%
news media journalism
49%
documentation technical
40%
technology software
40%

Detected Features

Search
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9537.49.159.144Germany
AS25291SysEleven GmbH
951--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T195E3F87296ED1C2A433147D7B0A0B359542FCE36D5418482F3BF21292FC9DA978CAD9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:vYrUzcR3V76PA/rjmaIYU31igS/svgZ5y18AL+AS+oKOfCQ9Cl3o9CqxmOJ56EdS:veV76PA/rjmaIYU31igS/svgZ5y18AL5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:156680:okYaSKQglQgAhAAIKIUS4GgAAAxjag/dCBAiFCJRqIMRFkqAChETGzBjkuAASSyDboU6oB2IkRWJMIBAUSkhCIAFMVAKJcDR

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:00181c1c1c181800
Perceptual Hash:88d967663267669c
Difference Hash:71b1b3b1b1317131
Wavelet Hash:003d3d3d3d3d3d05
Color Hash:#c58799

Scan History

Scan history not available

Unable to load historical scan data