Security Scan Report: regal-lily-feb6cf.netlify.app

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Submitted: Sep 18, 2026, 12:45:32 PMCompleted: Sep 18, 2026, 12:46:27 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 65%

7
Risk Score

Uber-branded page on an unranked Netlify subdomain with unknown creation date. No forms, malware or Indicators of Compromise found, but brand use on a non-official host warrants caution.

Risk Factors (4)
Another entity's brand (Uber) displayed on a non-official netlify.app subdomain
Unknown subdomain creation date on a shared hosting platform
Unranked domain using a major brand name
Informational IDS heuristics flagging Netlify-hosted phishing landing patterns (uncorroborated)
Domain age information unavailable

Details

Page Title

Uber

Scan Type

public

Domain Name Analysis

The domain 'regal-lily-feb6cf.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'regal-lily-feb6cf'. The core label 'netlify' covers 7 characters holding two vowels versus 5 consonants. Breaking it apart gives 3 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://regal-lily-feb6cf.netlify.app/

Page Load Overview

1.02s
Total Load Time
226 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:35 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
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
363.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
62--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T163110E038142841782B056936EE2F68879957697C3698DC071A743FE0B4DFEB65DBE2C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hRPhKTGh1In2EeaY5C/rXNFn2EyEJsCpKWDNVbG7E7:TPcTGhOn2EeaeC/hl2Eh7FG7g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1009:AABAAggAAIABAEAAACAAADAAAAAAQAAAAAAgAAAAAgAAAAAAgAAAAAAAAAAAAAAgCIBQAIAAgAAAgAAQAAAAAwAAAABAAQBg

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