Security Scan Report: i.ifone.de

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Submitted: Jul 15, 2026, 2:03:59 AMCompleted: Jul 15, 2026, 2:05:13 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics Plesk branding without collecting data; treat as moderate risk.

Risk Factors (3)
Brand impersonation of a third‑party product (Plesk)
Unknown domain age
High JavaScript obfuscation score
Safety Factors (4)
No forms collecting credentials or payment data
No malicious Indicators of Compromise
No network IDS alerts
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 3
Domain age information unavailable

Details

Page Title

Domain Default page

Scan Type

public

Domain Name Analysis

You're looking at domain 'i.ifone.de' on the German country-code top-level domain (.de); it also runs on subdomain 'i'. Count 5 characters in 'ifone' split between three vowels and two consonants. Segmentation suggests 2 words: if, one. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://i.ifone.de

Page Load Overview

0.71s
Total Load Time
181 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,331 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software89% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
89%
social media network
78%
documentation technical
72%
education learning
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
781.169.136.14Germany
AS6724Strato GmbH
6195.181.175.40Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
132--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17172B4769257956E0123C0D5BBB66740734D844BE80AC269B6DEA36C6FCFEA0E49370C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:YY6TUPW7YUd0xcP1bMW6XQ8Thb6nud3XOKxDVbidbv2zuuBOiUePyC8lv4RVgdYG:eq9muRhikuw6CXLgdD3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16765:QCmhLXNbBGUKel5UkRMZBAo0AAMNCwDhmmCBiAIghAsqXFSGCIIi8yRCgGKwJGCQNMEKAw4giQBSCl3ytgjCENSsICIksogV

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:001b1b7f7f002400
Perceptual Hash:898d76728aca7c74
Difference Hash:f17232d1d9cdcdc1
Wavelet Hash:191b1b7f7f207c01
Color Hash:#d279bb

Scan History

Scan history not available

Unable to load historical scan data