Security Scan Report: oznormali.vercel.app

Submitted: Sep 26, 2026, 7:50:02 AMCompleted: Sep 26, 2026, 7:50:34 AMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Phishing page impersonating Microsoft Outlook login on a Vercel subdomain, harvesting username/email and password and exfiltrating them cross-origin to submit-form.com. Confirmed credential phishing.

Risk Factors
Brand impersonation of Microsoft Outlook on a non-Microsoft domain
Credential (email/username + password) collection form
Cross-origin form submission exfiltrating credentials to submit-form.com
HIGH network IDS alert for landing page with form exfiltration to submit-form.com
Unranked Vercel subdomain with unknown actual age
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Domain Name Analysis

You're looking at domain 'oznormali.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'oznormali'. The core label 'vercel' covers 6 characters split between 2 vowels and four consonants. It segments into 2 words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://oznormali.vercel.app/

Page Load Overview

0.19s
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
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
32--

Detected Technologies5

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:83f67d010989d9fc
Difference Hash:d0ccccdcccd0d0d0
Wavelet Hash:3f27373f373f0000
Color Hash:#79d298

Scan History

Scan history not available

Unable to load historical scan data