Security Scan Report: outlooksa.vercel.app

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

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

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake Outlook login on a vercel.app subdomain that sends entered usernames and passwords cross-origin to submit-form.com; a brand-impersonating credential phishing page.

Risk Factors (5)
Brand impersonation of Microsoft Outlook on a non-Microsoft domain
Cross-origin credential form posting email + password to submit-form.com (third-party form backend)
Two password fields plus a username field with a German-language login lure
IDS HIGH alert for landing page with form exfiltration to submit-form.com
Hosted on the freely publishable vercel.app subdomain namespace with unknown page age and no domain reputation
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Domain Name Analysis

You're looking at domain 'outlooksa.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'outlooksa'. Count 6 characters in 'vercel' containing two vowels alongside four consonants. Segmentation suggests 2 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

0.21s
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
3216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0151.101.65.155Fastly · CDNUnited States
AS54113Fastly, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
45--

Detected Technologies6

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:060000001c0

Scan History

Scan history not available

Unable to load historical scan data