Security Scan Report: outlook-silk-nine.vercel.app

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 5 domains to perform 7 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://outlook-silk-nine.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake Microsoft 'security verification' login page on a vercel.app subdomain that harvests email/password, geolocates the visitor, and can exfiltrate captured data to Telegram; flagged by Safe Browsing for social engineering.

Risk Factors (8)
Microsoft brand impersonation on an unrelated vercel.app subdomain with no legitimate tie to Microsoft
Credential login form (email + password) behind a fake 'security verification' wall
Google Safe Browsing Social Engineering detection
Telegram bot token embedded in inline script — collection endpoint for exfiltration
Page reads the visitor's geolocation/IP via ipapi.co and renders it to appear legitimate
Obfuscated/encoded inline JavaScript (DOM APIs 615, network 60, crypto 5)
Deceptive error-state text ('Your password is incorrect. Please try again.') designed to retry credential capture
IDS alerts for actor-abused cloud hosting (vercel.app) in DNS and TLS SNI
Domain age information unavailable

Details

Page Title

Security verification - Microsoft account

Scan Type

public

Domain Name Analysis

The domain name 'outlook-silk-nine.vercel.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'outlook-silk-nine'. The second-level label 'vercel' is 6 characters long with two vowels and 4 consonants. Segmentation suggests two words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://outlook-silk-nine.vercel.app/

Page Load Overview

0.46s
Total Load Time
42 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:523 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
33%
government public service
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
123.53.42.66Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
1172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
12.23.246.101Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
123.53.42.59Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
77--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A172E8216A6B1A116523D068777ED30936758103E906C620796C46BCCF4AED3BEF77EC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:EiBIG3DxgN5Ps1PbOX8BwduJ/z2SXdor1w2LH/5u6yH7Q9MPwg9PtyJYbBp+nJJt:BIeScPbBgJJNGNLWqnx/S

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16301:IigiJBBIhLSWLAQIwigzFCoBywCAoaIBAXBQcEGDAK0ZwXVuGEdACUCFIAAImhAFbAYPRgQLIwRQ1AjgkBlqLFI5MYQRbSDU

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:ffffffffe7e7ffe7
Perceptual Hash:b399cc66338c6633
Difference Hash:0010282a4d4c3008
Wavelet Hash:0f0f1b0bc0c0f0f0
Color Hash:#1f5393

Other Hashes

Crop Resistant:0010282a4d4c3008

Scan History

Scan history not available

Unable to load historical scan data