Security Scan Report: outlooksa.vercel.app

Redirected to:
https://outlooksa.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://outlooksa.vercel.app/

Effective URL:
https://outlooksa.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

9
Risk Score

Fake Microsoft Outlook login on a vercel.app subdomain that sends entered username and password to an external submit-form.com endpoint — classic credential phishing; do not enter credentials.

Risk Factors (5)
Impersonation of Microsoft Outlook branding on a non-Microsoft domain
Credential-harvesting login form (2 password fields) with cross-origin submission to submit-form.com
Off-domain exfiltration of entered username/password via third-party form endpoint
IDS HIGH alert for landing page with form exfiltration to submit-form.com
Free hosting-platform subdomain with unknown creation date and no Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Domain Name Analysis

The domain name 'outlooksa.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'outlooksa'. The core label 'vercel' covers 6 characters holding 2 vowels versus four consonants. Breaking it apart gives two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

iz Outlook Domane\Benutzemame: Kennwort: © Anmelden

Page Load Overview

0.22s
Total Load Time
59 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Text Length:310 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism62% confidence
Type: static
Method: ml+structural+ocr_tiebreaker

All Detected Categories

news media journalism
62%
technology software
46%
government public service
44%
finance banking
42%
healthcare medical
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
55--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139538E7B56573909740B60E8BBFA57062F298013D94FC9797EAC264CCF86BD84163B8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4yDwgKaKwoVS30bSsgkzdKV7aQblNoJmgK4e2FuzaQlclI3ilyIx:JoUQRgEkF5F4nFuPc+3iDx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:61844:hQ1hwCE0AFAKAwcYQlGEBQQZAA8EVI8QTBJEByDERKUEjR4bDIJEdAmKA4BhqBwsEQAiByklEgiZ0oxBaAkgNAUssMQGCEkB

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:d0ccccd8d8d0d0d0
Wavelet Hash:3f273f3f3f000000
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data