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Security Scan Report: outlook-serv-coral.vercel.app

Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/d0708fbf-b559-4deb-81dd-1bee63366bceDomain and IP registration (RDAP)/api/v1/rdap/d0708fbf-b559-4deb-81dd-1bee63366bceHow often this domain was scanned/api/v1/domain/stats/outlook-serv-coral.vercel.appScan history for this domain/api/v1/domain/history/outlook-serv-coral.vercel.app?limit=15
This website contacted 3 IPs in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://outlook-serv-coral.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Phishing page cloning an Outlook sign-in on a vercel.app subdomain that sends entered email and password to submit-form.com; flagged by Safe Browsing for social engineering. Do not enter credentials.

Risk Factors (5)
Brand impersonation of Microsoft Outlook on a non-Microsoft host (vercel.app)
Cross-origin exfiltration of credentials to submit-form.com
Password/credential harvesting form
Google Safe Browsing social-engineering detection
Unranked, free hosting-platform subdomain with unknown creation date
Domain age information unavailable

Details

Page Title

Outlook

Scan Type

public

Domain Name Analysis

The domain name 'outlook-serv-coral.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'outlook-serv-coral'. Count 6 characters in 'vercel' holding 2 vowels versus 4 consonants. Segmentation suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://outlook-serv-coral.vercel.app/

Page Load Overview

0.25s
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 software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
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
1216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
33--

Detected Technologies7

X-UA-Compatible
100%
PasswordField
100%
Object
100%
Microsoft ASP.NET
50%
Vercel
40%
HSTS
40%
Outlook Web Appv15.2.1748
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A43AF3FA9572C332827607463DBB28A3B2A8417864ED924387C1758EF41D76417EBD9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:CyDwuJmtz7e05Nnfvi2aD2x6kzdKV7aQblNoJmgK4e2FuzTQnclYtcY:gtzK05N7aD2x6EkF5F4nFumcScY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57087:EQLiAaihOISiHAkYHyIij4IxSiEgDjgABgjMpUaIqSAghAYAFt5nosvCGkKAAgFQkngFCSNAVSoFTQFQQvUEXSgAMA5GBBwV

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:#40acbf

Other Hashes

Crop Resistant:a09c989080808080,f184acb6b6ac84e1,0e71710e20000000

Scan History

Scan history not available

Unable to load historical scan data