Security Scan Report: luxury-rugelach-8352f7.netlify.app

Submitted: Dec 9, 2025, 10:41:16 AMCompleted: Dec 9, 2025, 10:41:42 AMpubliccompleted
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Summary

This website contacted 14 IPs in 4 countries across 6 domains to perform 15 HTTP transactions. The main domain is luxury-rugelach-8352f7.netlify.app and was registered NaN years ago.

Submitted URL: https://luxury-rugelach-8352f7.netlify.app/rs_tl.html

AI Security Verdict

High Risk

Confidence: 92%

8
Risk Score

Site likely a phishing page harvesting credentials; treat as high‑risk.

Risk Factors
Social engineering detection by Google Safe Browsing
Credential harvesting UI (password field) on a non‑official domain
Impersonation of a webmail service
Unranked domain presenting a branded login page
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

Domain 'luxury-rugelach-8352f7.netlify.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'luxury-rugelach-8352f7'. The registrable portion 'netlify' spans 7 characters split between 2 vowels and five consonants. Breaking it apart gives three words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://luxury-rugelach-8352f7.netlify.app/rs_tl.html

Page Load Overview

3.98s
Total Load Time
15
HTTP Requests
6
Domains
325 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:591 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
2103.185.74.50India
AS149545Hosting Home
1142.250.185.170United States
AS15169GOOGLE
1142.250.184.227United States
AS15169GOOGLE
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
162.149.158.90Arezzo, Tuscany, Italy
AS31034Aruba S.p.A.
1104.16.174.226United States
AS13335CLOUDFLARENET
135.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
12606:4700::6810:aee2United States
AS13335CLOUDFLARENET
12a00:1450:4001:82a::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
12a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1514--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166B3B78473D67C8202471BB7731BB2E5E92A9CD9B189048AF14CBC98F7FD916EAD0531

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:8ENTEG2PNSP5YakQa9NA8XVPgRrU2yO+AHTy2bGO:8E5EG2qYakQa9NHgJjyO+4Ty2bGO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:114044:QSxJCAUjoOkADAKGylLMUBAM+UEFBpAQuJk2IRTASji2MRhTyhJVkUb8AQ8ASDG5B4IIkhFBKAMYixGKRkjzAxAkDLWkoCEg

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:ffcf878783cfffff
Perceptual Hash:b838c7cdccc63139
Difference Hash:051e1b3b3b1b000c
Wavelet Hash:ff8783838187ff00
Color Hash:#ac5397

Scan History

Scan history not available

Unable to load historical scan data