Security Scan Report: sign-in-gamma-flame.vercel.app

Submitted: Completed: publiccompleted
This website contacted 7 IPs in 1 country across 3 domains to perform 3 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://sign-in-gamma-flame.vercel.app/

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Microsoft-branded credential phishing hosted on a vercel.app subdomain, flagged by Safe Browsing for social engineering; it captures email and password and harvests visitor IPs. Do not enter credentials.

Risk Factors (6)
Impersonation of Microsoft brand on a non-Microsoft, unranked vercel.app subdomain
Credential harvesting form (email + password) matching the impersonated brand
Google Safe Browsing Social Engineering threat detection
Hidden IP-collection field and external IP-lookup request (api.ipify.org)
Subdomain on a free hosting platform with unknown creation date; platform age not attributable
IDS alerts for actor-abused cloud hosting service (vercel.app) in DNS and TLS SNI
Domain age information unavailable

Details

Page Title

Sign in to your Microsoft account

Scan Type

public

Domain Name Analysis

The domain name 'sign-in-gamma-flame.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'sign-in-gamma-flame'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. Word splitting yields 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

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Page Load Overview

0.95s
Total Load Time
7 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:559 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software45% confidence
Type: webapp
Method: ml+structural

All Detected Categories

technology software
45%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
064.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.26.13.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0172.67.74.152Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
37--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15892215636B304227943E5A837E7970E3625D403990BC9183FEC479C9FC7EC9AD62789

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:lALY7zq2zgC0oBoPFKIcJl+I9lXwQMrdnTZFZFHzXLGJjs8vy1GsDV1sSSKq1wzo:l3lJl2FF8KVsSRGwzMI66SOR+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20430:WlBIQv8hJIYwBIMagH0AQiNECuAGAApAEQgAMEMygAABWwAQDQipQ8upNBRQiiBELlZoqIaoSRRgAIDtQ0gO4QiidQCuAHRW

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:1f1f1f192521f9ff
Perceptual Hash:aa9d9862739d6266
Difference Hash:3c732b334d497141
Wavelet Hash:1f0f1f190119e1fd
Color Hash:N/A

Other Hashes

Crop Resistant:3c732b334d497141

Scan History

Scan history not available

Unable to load historical scan data