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

Site favicon
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: https://regal-lily-feb6cf.netlify.app/

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

Uber Get started with Uber Continue

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

Perceptual Hashes

Average Hash:e0e0f0e0e0e0f0ff
Perceptual Hash:e2628f719dce1992
Difference Hash:c38dc5c19c8f8161
Wavelet Hash:e0e0f4f0e0e0e0ff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data