Security Scan Report: ntccc.vercel.app

Redirected to:
https://ntccc.vercel.app/login/?dhsfiourewjdfjgkfdgkldfjiorejfdjgfdgjk...
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Submitted: Aug 21, 2026, 1:45:06 PMCompleted: Aug 21, 2026, 1:46:20 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 7 HTTP transactions. The main domain is ntccc.vercel.app and was registered 6 years ago.

Submitted URL: https://ntccc.vercel.app/?andenteryourpassword=1

Effective URL:

https://ntccc.vercel.app/login/?dhsfiourewjdfjgkfdgkldfjiorejfdjgfdgjk...
Redirected

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

High‑risk phishing page impersonating Zimbra with credential collection; avoid interaction.

Risk Factors (5)
Brand impersonation
Credential harvesting form
Unknown subdomain creation date
Unranked / low‑reputation domain
Threat‑intel match on primary domain
Domain age information unavailable

Details

Page Title

Zimbra Web Client Sign In

Scan Type

public

Domain Name Analysis

You're looking at domain 'ntccc.vercel.app' on the application-focused generic top-level domain (.app), featuring subdomain 'ntccc'. Its registrable label 'vercel' stretches across 6 characters with two vowels and four consonants. Tokenizing the label suggests 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ntccc.vercel.app/?andenteryourpassword=1

Page Load Overview

0.56s
Total Load Time
259 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:338 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software50% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
50%
corporate business
29%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.67United States
AS16509Amazon.com, Inc.
71--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14022435A45E31846780BE0B83BE757263265C103C546DC283FEC67884FABB99D9B37D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrKJvO3dFNdrrWWrByUQK/mt0VQmOF1FJCazBpA4Qp9/BqYKk:BryvodFNZnWK/CF1iQAjphQYKk

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10305:ok1ABJZLgpFBQsBTIR4K+ukgmwRCRAQBzo+ADCopjgBCgBcCUcUFkAiIABAuoS4BOEAiEKiDQEQBpByM9AQqBwSBh0M8XGTC

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:0018181818180000
Perceptual Hash:99dc6681762699d9
Difference Hash:4cb2b2b2b2b2f328
Wavelet Hash:ffffffd818180000
Color Hash:#79b0d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data