Security Scan Report: lilysilk.com

Redirected to:
https://www.lilysilk.com/
Submitted: Apr 12, 2026, 7:47:11 AMCompleted: Apr 12, 2026, 7:48:15 AMpubliccompleted
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Summary

This website contacted 34 IPs in 4 countries across 48 domains to perform 1 HTTP transaction. The main domain is lilysilk.com and was registered NaN years ago.

Submitted URL: https://lilysilk.com

Effective URL: https://www.lilysilk.com/Redirected

The Cisco Umbrella rank of the primary domain is #205,704 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 78%

6
Risk Score

Legitimate brand site but contains a password‑only form and links to a known malicious IP, giving it a moderate risk of credential phishing.

Risk Factors
Password‑only form could harvest credentials
Link to malicious IP indicates possible malicious content delivery
Heavy JavaScript obfuscation suggests hidden malicious behavior
Low domain reputation despite brand claim
Safety Factors
Domain age >15 years (well‑established)
Domain name matches the legitimate brand (lilysilk.com)
No payment fields or credential exfiltration observed
No JavaScript YARA malware matches
Domain age information unavailable

Details

Page Title

LILYSILK Official site – Premium Silk Fashion Apparels, Luxurious Silk Beddings & Accessories.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(57%)

Domain Information

You're looking at domain 'lilysilk.com' on the commercial generic top-level domain (.com) and has no subdomain. The core label 'lilysilk' covers 8 characters holding two vowels versus 6 consonants. Tokenizing the label suggests two words: lily, silk. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lilysilk.com

Page Load Overview

9.41s
Total Load Time
207
HTTP Requests
58
Domains
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:5,874 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical57% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
57%
phishing scam
55%
adult content
47%
travel tourism
41%
government public service
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9124.83.184.252Germany
634.160.81.0Kansas City, Missouri, United States
AS396982Google LLC
6104.18.22.41United States
AS13335Cloudflare, Inc.
6142.251.110.141United Kingdom
6142.251.127.84United States
AS15169Google LLC
634.192.191.43Ashburn, Virginia, United States
AS14618Amazon.com, Inc.
63.161.82.97Japan
6142.251.154.119Unknown
613.226.244.104United States
AS16509Amazon.com, Inc.
6146.75.121.140Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
20734--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A350A6E2309E626FA424D0E247E7E1FA0CF456FC953DDA290DCCF4243814FB4B6A995

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:rt9WGpTEVpu0R3o9chgCh2wK1m53anGI3nsq+1k:rt9WGpTEHu0R3o9chgCh2wK1m53anGIj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1140181:gSIocCDk9aCEQEghEQ8rGiCHQjFFRgBlGNYGQAA3wmIJGNQIgApo8sQHhQAQVCgURgkvJEKQICFEOKBAiOkESYmRQrIOVDgB

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:00d840405202ffff
Perceptual Hash:e069ca270f33371d
Difference Hash:c3b3928aa6ae5971
Wavelet Hash:00d04a42fa42ffff
Color Hash:#45783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data