Security Scan Report: sft-lake.vercel.app

Redirected to:
https://sft-lake.vercel.app/
Submitted: Completed: publiccompleted
This website contacted 7 IPs in 3 countries across 5 domains to perform 9 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://sft-lake.vercel.app/

Effective URL:
https://sft-lake.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Microsoft-branded credential phishing on a vercel.app subdomain: a Microsoft AAD-style login that harvests email/password, flagged by Safe Browsing for social engineering and contacting a malware-flagged domain.

Risk Factors (5)
Credential-harvesting login form (password + email/username) on a non-Microsoft domain
Impersonation of Microsoft's Azure AD / M365 login experience via Microsoft authentication CDN assets and canonical Microsoft wording
Google Safe Browsing Social Engineering threat
Cross-origin JavaScript request to abaneariais.us, reported as APT MuddyWater malware (single-source, unverified)
Hosting-platform subdomain (vercel.app) with unknown creation date and no domain reputation
Domain age information unavailable

Details

Page Title

Sign in to your account

Scan Type

public

Domain Name Analysis

You're looking at domain 'sft-lake.vercel.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'sft-lake'. Its registrable label 'vercel' stretches across 6 characters split between 2 vowels and 4 consonants. Word splitting yields two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://sft-lake.vercel.app/

Page Load Overview

1.85s
Total Load Time
57 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:246 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
123.207.210.136Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
113.107.246.44Azure · CLOUDUnited States
AS8075Microsoft Corporation
1185.221.216.117London, England, United Kingdom
AS393960Host4Geeks LLC
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
123.207.210.132Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
97--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5B3B790691439269037C73671D1BD8B62251433F737AEB7FA362CB8CF996C70A32A45

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:SxoBMCgKy+U5KazA/PWrF7qvEAFiQcpm2CkMgpC490CpSQ8mWqk:4oBgp4490F5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113994:OhAmGg4fSWPDkIAEQCAAFI4FKBhBo6euVAQhikBAgc6NAjFkBJwRIOgqUM4BIiilkFoYg86OMPQYDzQcPprFh0AFCYDJBWgR

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:181818181f1f1fbf
Perceptual Hash:9f4ac5bed0a8d4a8
Difference Hash:6171717171787b7c
Wavelet Hash:181818191f1f1fff
Color Hash:#d2512d

Other Hashes

Crop Resistant:6171717171787b7c

Scan History

Scan history not available

Unable to load historical scan data