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Security Scan Report: tourmaline-pixie-a29259.netlify.app

Submitted: Mar 23, 2026, 2:33:16 AMCompleted: Mar 23, 2026, 2:34:40 AMpubliccompleted
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Summary

This website contacted 2 IPs in 2 countries across 2 domains to perform 5 HTTP transactions. The main domain is tourmaline-pixie-a29259.netlify.app and was registered NaN years ago.

Submitted URL: https://tourmaline-pixie-a29259.netlify.app/?c=dGhyZXdAZWFyLnNl

AI Security Verdict

Moderate Risk

Confidence: 95%

5
Risk Score

Confirmed phishing page using a base64 email token and fake auth prompt to harvest credentials.

Risk Factors
Brand impersonation (ear.se) on unrelated domain
Base64 email token used for victim tracking
Unranked hosting subdomain (high suspicion)
Credential prompt without proper form handling
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 9 to 5
Domain age information unavailable

Details

Page Title

Auth Panel

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(47%)

Domain Information

Domain 'tourmaline-pixie-a29259.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'tourmaline-pixie-a29259'. Its registrable label 'netlify' stretches across 7 characters with two vowels and five consonants. It segments into three words: net, li, fy. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tourmaline-pixie-a29259.netlify.app/?c=dGhyZXdAZWFyLnNl

Page Load Overview

0.28s
Total Load Time
5
HTTP Requests
2
Domains
49 KB
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
Text Length:83 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical47% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
47%
government public service
45%
news media journalism
43%
cryptocurrency blockchain
40%
technology software
36%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.18.3.157United States
AS13335Cloudflare, Inc.
263.176.8.218Frankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
52--

Detected Technologies2

Netlify
40%
HSTS
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE21427454E0826EE3234991FC81B729B89DD30FCAA7D408A2BE91D96FD7C52CD4A634

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:nc6tqCpKWydNVA7E0fz6Q/EaiXCxN59VLI0u3JupVpiTRo+mA0:nnX97dfhiXCx3PM0g4XSok0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1324:AAAAABAAAAAAAUAAAgAAAgAACJgAAAAAEgAgACBAAAAEEQAAIAAAAQQAAAZAAAAABAIAAAABAAAAAAAgAAAAAACAAAEBAAQA

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:fff7ffffe7a5dbe7
Perceptual Hash:b399cc6699992666
Difference Hash:000830124c4d3008
Wavelet Hash:00001808c7c7ffff
Color Hash:#79d2af

Other Hashes

Crop Resistant:000830124c4d3008

Scan History

Scan history not available

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