Security Scan Report: rosaehessfrzimbra.vercel.app

Redirected to:
https://rosaehessfrzimbra.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://rosaehessfrzimbra.vercel.app/

Effective URL:
https://rosaehessfrzimbra.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Phishing page impersonating EHESS's Zimbra login on a free vercel.app subdomain, harvesting email and password via a cross-origin form to submit-form.com. Do not enter credentials.

Risk Factors (5)
Credential-harvesting login form (email + password) on a domain unrelated to the impersonated organisation
Cross-origin form action sending credentials to submit-form.com
Impersonation of EHESS and of the Zimbra Web Client login interface
Free hosting-platform subdomain with unknown creation date and no domain reputation
Login page provenance cannot be corroborated by any official EHESS or Zimbra domain
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

You're looking at domain 'rosaehessfrzimbra.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'rosaehessfrzimbra'. The core label 'vercel' covers 6 characters holding two vowels versus four consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://rosaehessfrzimbra.vercel.app/

Page Load Overview

2.40s
Total Load Time
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:228 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software58% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
58%
corporate business
52%
government public service
45%
adult content
43%
e-commerce shopping
36%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16A61629755930811E912A5602FE2971236A4C123824ACCA93ECDA7ACCF8A9D942B379D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:nPcTGhwizaeC/ilNgOG6P8NFwbAnN5gvxq4M8IGW14x9yM3LxXQHxoVHf+aj9/mz:n0TGxuBqlANFJ85qJryT3Lxp/+w9/4

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3250:AEAAgIQAIAohEgUQgIAmAAUQggEAAAChkBqiAyQBBQgQABICgBQAZgEAgqACIWAAggBBEIAIBACAAAAJAEAUYiQqYAAAFAAI

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:ffffe7e7e7e7ffff
Perceptual Hash:e6cc9933cc893366
Difference Hash:304c4d4d4d4d4c30
Wavelet Hash:0303030303030303
Color Hash:#2dd24e

Scan History

Scan history not available

Unable to load historical scan data