Security Scan Report: br-zim.netlify.app

Submitted: Completed: publiccompleted

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Zimbra Web Client sign-in hosted on a Netlify subdomain that posts usernames and passwords to submit-form.com. Clear credential phishing with brand impersonation — never enter credentials here.

Risk Factors (4)
Brand impersonation of Zimbra (Synacor) on a non-official netlify.app subdomain
Credential-capturing form with a password field submitting cross-origin to submit-form.com
Threat-intelligence phishing report on the domain
Datacenter-IP scanner received a block/challenge page while residential clients saw the real login page, indicating bot-protection evasion on a credential-harvesting page
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign Inother network

Scan Type

public

Domain Name Analysis

The domain 'br-zim.netlify.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'br-zim'. Count 7 characters in 'netlify' split between 2 vowels and five consonants. Tokenizing the label suggests three words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://br-zim.netlify.app/

Page Load Overview

75.13s
Total Load Time
N/A
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
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
093.94.224.225Netherlands
AS25151Cyso Group B.V.
063.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFB2D86625E518610AA370FC59CF111934B49C2B1009CE087DFC92A83FB5D7A56B7BFE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:gqjhRgFO3nhkxUT4OmYXhl2Ei0m5HDpupShi4i2iZi5iFieigiMiniHiNJci8i9:pjD3nhkxUT4Om6tc/oVHgA0v9BiCNJRH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:23699:BAIaNLRw6IvBgDIMgGKlqKEHXEAACTHcyCUASAFKACJugIkCAm8HVcLFBJgAZoIIKSIA7hWgxtgENGgoocAXgiAECACUSlFC

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:#931f67

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data