Security Scan Report: ai.fitnes-ai.fr

Redirected to:
https://get-derila.com/derila/product-1?l=de&c=eur&vndr=evf&evf=1&uid=...
Site favicon
Submitted: Sep 20, 2026, 3:11:45 PMCompleted: Sep 20, 2026, 3:12:36 PMpubliccompleted

This website contacted 26 IPs in 2 countries across 23 domains to perform 85 HTTP transactions. The main domain is get-derila.com and was registered 22 years ago.

Submitted URL: https://ai.fitnes-ai.fr/kCeZSE/

Effective URL:

https://get-derila.com/derila/product-1?l=de&c=eur&vndr=evf&evf=1&uid=...
Redirected

AI Security Verdict

Moderate Risk

Confidence: 55%

4
Risk Score

Affiliate dropshipping landing page for Derila pillows using urgency and inflated comparison pricing; no forms, no credential harvesting, and no threat-intel or malware hits, so caution only.

Risk Factors (2)
Multi-hop cross-domain redirect from an unrelated domain to the sales page
Affiliate-marketing funnel with deceptive urgency and inflated reference pricing
Safety Factors (4)
No forms of any kind (0 password, 0 payment, 0 total) — nothing is captured on this page
No threat-intelligence matches, no JavaScript malware patterns, no network IDS alerts
Content is a coherent product page for a commercially sold brand (Derila), not a fake login or brand-lookalike page
Cross-origin POST to its own final domain (send-meta-event) is standard advertising pixel behavior
Domain age information unavailable

Details

Page Title

Zeitlich begrenzte Aktion: 70 % Rabatt auf Derila! | Derila

Scan Type

public

Domain Name Analysis

Domain 'ai.fitnes-ai.fr' uses the French country-code top-level domain (.fr) and includes subdomain 'ai'. The core label 'fitnes-ai' covers 9 characters with four vowels and 4 consonants, notching one hyphen. It segments into four words: fit, nes, a, i. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ai.fitnes-ai.fr/kCeZSE/

Page Load Overview

5.10s
Total Load Time
2.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:16,922 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce shopping97% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
97%
healthcare medical
95%
government public service
93%
blog personal website
85%
travel tourism
80%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10146.190.177.236Frankfurt am Main, Hesse, Germany
AS14061DigitalOcean, LLC
3104.26.15.210Germany
AS54113Fastly, Inc.
3104.26.14.210Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.74.138Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.18.54Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.94Google · CDNUnited States
AS15169Google LLC
3104.18.19.54Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
334.36.244.111Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3142.251.14.97Google · CDNUnited States
AS15169Google LLC
8526--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125642A7258B100BD4C5341E496396A57BE47F29BDB2E88C4B7DC4321BF87CA39A13A5C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:mAfL8grJ+kn3mWc+e/sPgiPn5Po+HLtRhjQrAzVKdZx2wfG2o1c+:m280J+k3mWc+tfn5NHLtfKV24o1c+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:330706:hghkwnBXLEgIBJkDkTRlAJNBRHhA1AZqA2iERmCAhTAqoRlCDqBRRERBSnAvoAZEggADQdBgdCwQyIHi7tiBCQhyASpgSBAm

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:ff1e32060606ccff
Perceptual Hash:958ce81aaff08cf2
Difference Hash:22f6e6eeecfc9cde
Wavelet Hash:ff1632060606ccff
Color Hash:#ac6553

Scan History

Scan history not available

Unable to load historical scan data