Security Scan Report: email-zimbra-web-auth.netlify.app

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Submitted: Nov 4, 2025, 3:07:39 AMCompleted: Nov 4, 2025, 3:08:08 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 2 domains to perform 6 HTTP transactions. The main domain is email-zimbra-web-auth.netlify.app and was registered NaN years ago.

Submitted URL: https://email-zimbra-web-auth.netlify.app/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(64%)

Domain Information

Within the application-focused generic top-level domain (.app), 'email-zimbra-web-auth.netlify.app' is registered, featuring subdomain 'email-zimbra-web-auth'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus 5 consonants. Splitting it apart reveals 3 words: net, li, fy. Average segment length settles at two characters. Most frequently, 'neto' shows up in Esperanto. Secondary signals appear in Bosnian and Serbian.

Screenshot

Security scan screenshot of https://email-zimbra-web-auth.netlify.app/

Page Load Overview

13.48s
Total Load Time
6
HTTP Requests
2
Domains
162 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:741 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software64% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
64%
corporate business
39%
documentation technical
31%
government public service
28%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
135.157.26.135Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
1129.153.230.99Ashburn, Virginia, United States
AS31898ORACLE-BMC-31898
12a05:d014:58f:6200::258Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
12a05:d014:58f:6200::259Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
163.176.8.218Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
65--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F7A2D96A24E51C6106A770FC59DF111934B4DC271009CE087DFC91A83FB6D6A56A3BFE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:HXjhRgFO30hk7UT4OJYXhl2Ei0m5HDpupShi4i2iZi5ioieigiMiniHiNJXi8i9:3jD30hk7UT4OJ6tc/oVHgAFv9BiCNJSH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23201:ZCMxga0EIMhmGroAYJgRGfNDgqFBEAF4hSBlEilQgFFN2IAEaQBxAErCAOQAAmiYAyLNMJJD4ssOSkPbAACQCTRkAAI4IBLm

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:0000181818180000
Perceptual Hash:99da26f689a4d923
Difference Hash:504cb2b2b232cef3
Wavelet Hash:f07cfeff1f980000
Color Hash:#d2d179

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data