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

Submitted: Completed: publiccompleted
This website contacted 10 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/#ur

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Confirmed Microsoft credential-phishing page on a free vercel.app subdomain: fake 'security verification' password form, Safe Browsing social-engineering hit, and a Telegram bot token in script for exfiltration. Never enter credentials.

Risk Factors (7)
Brand impersonation of Microsoft on a domain it does not own
Password-harvesting form behind a fake 'security verification' prompt
Telegram bot token in page script enabling credential exfiltration
Google Safe Browsing Social Engineering detection
Free hosting subdomain (vercel.app) with unknown actual creation date and no domain reputation
Client-side geolocation lookup of the victim via ipapi.co
Single-source threat-intelligence report of phishing on the primary domain
Domain age information unavailable

Details

Page Title

Security verification - Microsoft account

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'outlook-silk-nine.vercel.app' is registered and includes subdomain 'outlook-silk-nine'. Count 6 characters in 'vercel' holding two vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

BE Microsoft Security verification Continue to account settings Falkenstein, Germany 178.63,18.224 Email, phone, or Skype No account? Create onel Can't access your account? © 2026 Microsoft | P...

Page Load Overview

0.33s
Total Load Time
43 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%

All Detected Languages

🇺🇸en(82%)🇩🇪de(10%)🇪🇸ca(8%)

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
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.9.44Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
123.52.181.212Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
0216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0192.178.183.95Google · CDNUnited States
AS15169Google LLC
023.207.210.74Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
02.21.20.135Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
0172.67.69.226Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
064.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
710--

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:070000001c0

Other Hashes

Crop Resistant:0010282a4d4c3008

Scan History

Scan history not available

Unable to load historical scan data