Security Scan Report: eloquent-fenglisu-517598.netlify.app

Redirected to:
https://eloquent-fenglisu-517598.netlify.app/
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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 3 domains to perform 17 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://eloquent-fenglisu-517598.netlify.app/

Effective URL:
https://eloquent-fenglisu-517598.netlify.app/
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AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Microsoft/Office 365 phishing kit on an anonymous Netlify subdomain: it clones the Microsoft sign-in page with the Microsoft favicon and a password form to harvest credentials. Flagged by Google Safe Browsing. Do not enter any credentials.

Risk Factors (7)
Microsoft brand impersonation on a non-Microsoft host
Credential-harvesting login form (email + password) with no legitimate service behind it
Google Safe Browsing Social Engineering detection
Foreign favicon (Microsoft) served by a non-Microsoft domain
Instant, anonymous Netlify subdomain with unverifiable creation date
ML classifier labels page malicious (60%) / suspicious phishing (58%)
IDS 'ET HUNTING Suspicious Netlify Hosted ... Possible Phishing Landing' alerts (informational, corroborating)
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

The domain 'eloquent-fenglisu-517598.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'eloquent-fenglisu-517598'. The registrable portion 'netlify' spans 7 characters with 2 vowels and 5 consonants. Splitting it apart reveals three words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

BE Microsoft Sign-in your office365 account to view document Email bea Password No account? Create onet (Can’t access your account? A Pe. Meme ARarwcaes Adee ESSE ye em ites as weiner: eer Ree...

Page Load Overview

16.87s
Total Load Time
545 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:178 chars
Detector Agreement:100%

Website Classification

Primary Category

malicious60% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

malicious
60%
suspicious phishing
58%

Detected Features

Login Form
Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
763.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
223.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
235.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
223.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
176--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE54AE68D7F2B9EE433E45B5F16AED2129D36D0356859B62378E47884F894C3C02F29C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:cQ32fmxSkpXqxM/Xp6dn3efhNj9s792ZlS:7KMXq9dn4y78ZlS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:282092:BMIQ8CIOgCzqgS5IoNAA4EikDHAAUAIgDItckQ4QGDyGRQRwlxUiiUgZYMhlCi6CEEFQEhIAQAPEoUBHUABdUIFYlEahBcAR

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:ffcf0fdff71f1f3e
Perceptual Hash:9de8570ec5aa15e2
Difference Hash:50921a9ac4706968
Wavelet Hash:d8c808d8770f1f0e
Color Hash:N/A

Other Hashes

Crop Resistant:50921a9ac4706968

Scan History

Scan history not available

Unable to load historical scan data