Security Scan Report: updateserv-owa.vercel.app

Submitted: Sep 26, 2026, 8:50:02 PMCompleted: Sep 26, 2026, 8:50:35 PMpubliccompleted

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Fake Outlook login page on a vercel.app subdomain that harvests email/password and exfiltrates them to submit-form.com — classic Microsoft credential phishing. Do not enter any credentials.

Risk Factors (5)
Brand impersonation of Microsoft Outlook on an unofficial domain
Cross-origin credential form submitting email/password to submit-form.com
Password field collected on a page posing as a major brand's login
HIGH-severity IDS alert for form exfiltration to submit-form.com
Free shared-hosting subdomain with unknown creation age (disposable infrastructure)
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Domain Name Analysis

The domain 'updateserv-owa.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'updateserv-owa'. The core label 'vercel' covers 6 characters containing 2 vowels alongside four consonants. Breaking it apart gives 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://updateserv-owa.vercel.app/

Page Load Overview

0.35s
Total Load Time
27 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Text Length:525 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
82%
news media journalism
69%
healthcare medical
63%
government public service
61%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · 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

T1B443AE3FA9572C332867607463EBB28A3F2A8417824ED924387C1758EF41D76417EBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:byDwuJmtz7e05Nnfvi2aD2xJkzdKV7aQblNoJmgK4e2FuzTQnclYtcY:ttzK05N7aD2xJEkF5F4nFumcScY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57307:SggBEBI2HQORQRDEAIKMHAIAitttGgEQlVILCQiWNjQQAkAMAgEKAAaAwHA80fAiQ0NHcB1DWKQgWiAkeAgnKoImiEMFmREE

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:d0ccccd8d0d0d0d0
Wavelet Hash:3f273f3f3f300000
Color Hash:#bde06c

Scan History

Scan history not available

Unable to load historical scan data