ScanMalware.com

Security Scan Report: www.gbagobar.vercel.app

Redirected to:
https://gbagobar.vercel.app/
Submitted: Sep 4, 2026, 12:46:12 AMCompleted: Sep 4, 2026, 12:49:42 AMpubliccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/5c5327f2-3ae5-4aaa-b8a8-d262150b1280Domain and IP registration (RDAP)/api/v1/rdap/5c5327f2-3ae5-4aaa-b8a8-d262150b1280Certificate Transparency/api/v1/ct/gbagobar.vercel.appHow often this domain was scanned/api/v1/domain/stats/gbagobar.vercel.appScan history for this domain/api/v1/domain/history/gbagobar.vercel.app?limit=15

This website contacted 4 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is gbagobar.vercel.app and was registered 6 years ago.

Submitted URL: http://www.gbagobar.vercel.app/

Effective URL:

https://gbagobar.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 85%

9
Risk Score

Page hosts a credential‑phishing form impersonating Outlook, exfiltrating data to an external service; treat as high‑risk and avoid.

Risk Factors
Brand impersonation (Outlook) on a non‑official domain
Cross‑origin credential exfiltration to third‑party service
Unranked / unknown‑age subdomain on shared hosting platform
High‑severity IDS alert indicating form exfiltration
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Domain Name Analysis

Domain 'www.gbagobar.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'www.gbagobar'. Its registrable label 'vercel' stretches across 6 characters containing 2 vowels alongside 4 consonants. It segments into two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.gbagobar.vercel.app/

Page Load Overview

6.79s
Total Load Time
27 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Text Length:579 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
82%
documentation technical
79%
news media journalism
67%
government public service
61%
healthcare medical
60%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2216.198.79.67United States
AS16509Amazon.com, Inc.
164.29.17.131United States
AS16509Amazon.com, Inc.
164.29.17.67United States
AS16509Amazon.com, Inc.
1216.198.79.195United States
AS16509Amazon.com, Inc.
54--

Detected Technologies3

X-UA-Compatible
100%
PasswordField
100%
Object
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T162439E3FA9572C332827607463DBB28A3B2AC417824ED924387C1758EF81D76417EBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:byDwuJmtz7e05Nnfvi2aD2x9kzdKV7aQblNoJmgK4e2FuzxQnc6YtcY:ttzK05N7aD2x9EkF5F4nFuccPcY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57563:1AFyaTo0uQQAsACAFx+jTdNOKZhIiiGEVIAJCxAOgEAwABEgmgAkAgHkDkUNwhAVEfXGUwDCAagD6NF1aHApAWAFEG4qxhtu

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:3f3f3f3f3f3f3f3f
Perceptual Hash:83f677010989d9fc
Difference Hash:d0ccccd0d8d0d0d0
Wavelet Hash:3f273f3f3f000000
Color Hash:#5377ac

Other Hashes

Crop Resistant:a09c98a090808080,f184acb6b6ac84e1,0e71710e20000000

Scan History

Scan history not available

Unable to load historical scan data