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

Redirected to:
https://out.petal-art.de/
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 2 countries across 2 domains to perform 4 HTTP transactions. The main domain is women-flowers.lol and was registered 1 month ago.

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

Effective URL:
https://out.petal-art.de/
Redirected

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Simple email unsubscribe page on out.petal-art.de with no password/payment fields, no impersonation, and no threat-intel, YARA, or IDS hits.

Safety Factors (6)
No password, payment, or disguised credential fields present
No Indicators of Compromise detected
No JavaScript malware patterns detected
No network IDS alerts detected
No brand impersonation observed
No credential exfiltration detected
Domain age information unavailable

Details

Page Title

Unsubscribe

Scan Type

public

Domain Name Analysis

Within the .lol top-level domain, 'xn--b1a.women-flowers.lol' is registered with subdomain 'xn--b1a'. Count 13 characters in 'women-flowers' split between four vowels and 8 consonants; bonus characters include 1 hyphen. Word splitting yields two words: women, flowers. Expect six 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/CNJsvR/

Page Load Overview

0.40s
Total Load Time
87 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:23 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
262.173.140.6Russia
AS34300Internet-Cosmos LLC
2209.38.105.202Amsterdam, North Holland, Netherlands
AS14061DigitalOcean, LLC
42--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A501285148035523D197B2FC77CE2B82CDD05CE993AC4109139332EEA9D9FBC9B86780

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxC6NZk6QclfhtBqmRS6t3a51u1u1u1u1u1u1u15FfiGCivMVj3GWyplGoS:k0Iksp6mSUUUUUUU5MGC7jo2oS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:752:AAAIIQAAAAAAAQAggAAAAAAEAAAgAAACAAAAwAAAAAAAAAAAAAAAAAAAAAABACAAAAAAAAAAEAAAEAIAgAAAAAAAQAABAAAA

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:ffe7e7ffffffffff
Perceptual Hash:e6669999998c6666
Difference Hash:00080c0000000000
Wavelet Hash:ffffe7ff00000000
Color Hash:#40acbf

Other Hashes

Crop Resistant:00080c0000000000

Scan History

Scan history not available

Unable to load historical scan data