Security Scan Report: it-corp.netlify.app

Redirected to:
https://it-corp.netlify.app/
Submitted: Completed: publiccompleted
This website contacted 3 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://it-corp.netlify.app/

Effective URL:
https://it-corp.netlify.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake Zimbra webmail login on a netlify.app subdomain that sends entered username and password to a third-party submit-form.com endpoint — a credential-phishing page impersonating Zimbra. Do not enter credentials.

Risk Factors (5)
Impersonation of the Zimbra/Synacor brand on a non-official netlify.app subdomain
Credential (username + password) login form
Cross-origin/external submission of captured credentials to submit-form.com
HIGH IDS alert for form exfiltration to submit-form.com
Shared hosting platform subdomain with unknown creation date and no domain reputation
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

The domain 'it-corp.netlify.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'it-corp'. The registrable portion 'netlify' spans 7 characters holding 2 vowels versus 5 consonants. Breaking it apart gives three words: net, li, fy. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://it-corp.netlify.app/

Page Load Overview

1.06s
Total Load Time
181 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:738 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
32%
government public service
28%
social_media
25%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
293.94.224.225Netherlands
AS25151Cyso Group B.V.
263.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
73--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5B2D86625E518610AA370FC59CF111934B49C2B1009CE087DFC92A83FB5D7A56A7BFE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gGjhRgFO3nhkxUT4OmYXhl2Ei0m5HDpupShi4i2iZi5iFieigiMiniHiNJci8i9:FjD3nhkxUT4Om6tc/oVHgA0v9BiCNJRH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23699:BANaPAjw+MqJgXAKyCIhoCUPcFAACSGMyCUCSAEaIE5vAAESAn8KNMrFAIiRZgFCgSNAjpXCRFhGNGgQoME1EiAEHJCEUkBC

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:#1f935b

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data