Security Scan Report: www.eeeeeee-sigma.vercel.app

Redirected to:
https://eeeeeee-sigma.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 2 countries across 3 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.eeeeeee-sigma.vercel.app/

Effective URL:
https://eeeeeee-sigma.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Zimbra webmail login on vercel.app that posts entered usernames and passwords to freshytopics-owx.live; Zimbra-brand impersonation targeting parliament.go.ke mail users.

Risk Factors (5)
Brand impersonation of Zimbra/Synacor on a mismatched hosting-platform subdomain
Credential harvesting form exfiltrating passwords to an unrelated external domain (freshytopics-owx.live)
Session-expired social-engineering lure
Shared-hosting tenant with unknown creation date; no legitimate business identity or ranking
IDS alerts for commonly actor-abused cloud hosting infrastructure
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.eeeeeee-sigma.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.eeeeeee-sigma'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Breaking it apart gives 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Sign In Your session has expired, Please login again. Username Forgot Web App Version Default Copyright © 2005-2023 Synacor, Inc. All rights reserved. "Zimbra’ is a registered trademark of Synacor...

Page Load Overview

1.46s
Total Load Time
22 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:804 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software61% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
61%
corporate business
38%
documentation technical
30%
government public service
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
134.241.168.233Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
75--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14383F831F282241AB02BC47DE483FA88792A9453C5565F39F93EB079EFC64ED1623746

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:zubv1ZuuiaEu+EC/jfeTtw3k9k4rfjD3mhkZUT4O36tcjtI1nQLlvdhiSmV5KxH:C9Eu+Enhw3k3Zo4gI1nQLlvdhiSCKxH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:86927:AKIAQEoFCAARhsAKJCFbURGepcUAdCANaAUQcNDQyaqGChELQz1FkKzk6QUShKSAERoiACIjyABEAYDAAkAAsASZEchotKAi

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:99646633d9669999
Difference Hash:0430b2b2b2b23028
Wavelet Hash:f0f0f8f83c3c243c
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data