Security Scan Report: 3d08-4010-aa2d-88ca661975d1-12b085.netlify.app

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Submitted: Aug 26, 2026, 1:45:28 PMCompleted: Aug 26, 2026, 1:46:56 PMpubliccompleted

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

The page impersonates Zimbra and harvests credentials on an unknown-age Netlify subdomain, indicating high‑risk phishing.

Risk Factors (3)
Brand impersonation on an untrusted hosting subdomain
Credential collection form on unknown-age subdomain
Unranked domain (not in Cisco Umbrella top 1M)
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), '3d08-4010-aa2d-88ca661975d1-12b085.netlify.app' is registered, featuring subdomain '3d08-4010-aa2d-88ca661975d1-12b085'. Its registrable label 'netlify' stretches across 7 characters split between two vowels and five consonants. Splitting it apart reveals 3 words: net, li, fy. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://3d08-4010-aa2d-88ca661975d1-12b085.netlify.app/sdd/wp_content/media/css/zm/zm

Page Load Overview

0.22s
Total Load Time
18 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:42%
Script:Latin
Direction:ltr

Detection Details

Text Length:919 chars
Detector Agreement:67%

Website Classification

Primary Category

forum community discussion81% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

forum community discussion
81%
technology software
39%
social media network
37%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
463.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
41--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B91620018F28C72929148D16E91BE462CD8822383175C8CB9AD4FFE5FE7DC79367768

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:81kcTGhO/aeC/hj0oHdPZLOo1A2eXHKsbw2NfLAmjJGQY+Mspbpb:cTGXBZZLpde3KYfLAmFGFAtb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4341:GMAAAkICIQCAQYCIBAABCBAEEQECAAFICAIAAhQAAhUAQBBAAyiAwqRWCEVgAIMBANEAecSCIDCCBQCkBAIAAIKAAQkAAhAA

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:ffe7c3c3e7ffffe7
Perceptual Hash:b3a2cccc33339966
Difference Hash:224d4d4d4d32040c
Wavelet Hash:ffe7e7c3c3270000
Color Hash:#863d2d

Scan History

Scan history not available

Unable to load historical scan data