Security Scan Report: xn--b1a.women-flowers.lol

Redirected to:
https://try-ondrela.com/ondrela/product?vndr=evf&evf=1&offid=98&affili...
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Submitted: Completed: publiccompleted
This website contacted 25 IPs in 3 countries across 18 domains to perform 88 HTTP transactions. The main domain is women-flowers.lol and was registered 1 month ago.

Submitted URL: https://xn--b1a.women-flowers.lol/XhGCOD/

Effective URL:
https://try-ondrela.com/ondrela/product?vndr=evf&evf=1&offid=98&affili...
Redirected

AI Security Verdict

Moderate Risk

Confidence: 60%

4
Risk Score

No forms, malware or impersonation: self-branded tracking-card shop. Risk comes from pushy discount/trust claims and an affiliate redirect chain through an unrelated .lol domain. Treat marketing claims skeptically.

Risk Factors (4)
Deceptive marketing patterns: fake limited-time discount and unverifiable customer-count/review claims
Unsubstantiated compatibility claims with Apple Find My / Google Find Hub
Traffic funneled through an unrelated punycode .lol domain with affiliate parameters (affiliate_id, subid5, source_id) to a differently named destination domain
Entry domain age (140 days) says nothing about the final destination, try-ondrela.com, whose age is unknown
Safety Factors (4)
No credential, login or payment form on the page (verified form facts: 0 forms)
No Indicators of Compromise, YARA hits, IDS alerts or Safe Browsing flags
Brand shown (Ondrela) matches its own domain try-ondrela.com — self-branding, not impersonation of another company
No obfuscated JavaScript, no DevTools blocking, no cross-origin credential exfiltration detected
Domain age information unavailable

Details

Page Title

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

Scan Type

public

Domain Name Analysis

The domain 'xn--b1a.women-flowers.lol' uses the .lol top-level domain with subdomain 'xn--b1a'. Its registrable label 'women-flowers' stretches across 13 characters with four vowels and eight consonants, plus one hyphen. Word splitting yields two words: women, flowers. Expect 6 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://xn--b1a.women-flowers.lol/XhGCOD/

Page Load Overview

6.12s
Total Load Time
3.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:de
Text Length:8,088 chars
Detector Agreement:75%

Website Classification

Primary Category

finance banking90% confidence
Type: spa
Method: ml+structural

All Detected Categories

finance banking
90%
technology software
78%
phishing scam
78%
e-commerce shopping
74%
government public service
67%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16104.18.29.91Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3209.38.105.202Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
3104.21.95.212Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.21.33.82Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
334.36.244.111Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3142.251.20.97Google · CDNUnited States
AS15169Google LLC
3104.26.7.169Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
8825--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E54297694BA203E8C1381DC9B6D355A6A1EF0EFE76E8480B2DC03107F97CD29D4B658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:QACg+Ti6ol1PwrslnVBSvQ7jrJ+kls0TNdF519x/Wfgok3QXtkA36XbqvWYcCi6V:QDvwy8ogrJ+kvD636XbqvWYc4J6GX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:286910:QiURAoFwSgMgAUmgSGwyDoEOlBCyC6YMQGCFhO6xALwBUkY+BkJFOGDBUlYkrChBaflmAACNEBQKAHACg6SiRAQbQonoQBwC

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Scan History

Scan history not available

Unable to load historical scan data