Security Scan Report: www.gogo-smoky-nine.vercel.app

Redirected to:
blob:https://gogo-smoky-nine.vercel.app/4e2aae45-b3bc-4e22-a74a-c859a5...
Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 3 domains to perform 4 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.gogo-smoky-nine.vercel.app/

Effective URL:
blob:https://gogo-smoky-nine.vercel.app/4e2aae45-b3bc-4e22-a74a-c859a5...
Redirected

AI Security Verdict

High Risk

Confidence: 82%

8
Risk Score

Anonymous vercel.app page imitating a generic webmail login, with the credential form wired to an unrelated external endpoint (dianaseo.com). Do not enter credentials.

Risk Factors (4)
Credential capture form (email + password) on an anonymous free-hosting subdomain
Login submission wired to an external, unrelated domain (dianaseo.com) rather than a provider backend
No discernible legitimate webmail operator: no brand, no about/contact, no policy pages
Unknown age of the hosting subdomain; could have been deployed immediately before the scan
Domain age information unavailable

Details

Page Title

Mailbox Login

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.gogo-smoky-nine.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'www.gogo-smoky-nine'. The registrable portion 'vercel' spans 6 characters split between 2 vowels and 4 consonants. It segments into two words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Webmail Login & undefined © Password Log oO Forgot password? Copyright A© 2026

Page Load Overview

0.72s
Total Load Time
35 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:102 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical60% confidence
Type: webapp
Method: ml+structural

All Detected Categories

documentation technical
60%
news media journalism
50%
technology software
46%
adult content
43%
government public service
43%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0151.101.1.155Fastly · CDNUnited States
AS54113Fastly, Inc.
064.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
0151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
45--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FED1844A55F300513213D6783BE7A7493964C017A606CC6C3FDC97888FC6AD9AAA37CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:BrhaRXw0+3JzFcEkuZOhWxSIoDU7gmlXc:BrQyFyut4elXc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6514:QBglmUrEFLgAaUMEslQKBQKAEIAGRJABoAGAICKlowZAAJJAEKGMCgw1ESxgAsQAEAwgCANgYoEwypHBgChQgd6iCEGpFAgE

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:ffffe7e7e7e7ffff
Perceptual Hash:e699996666998966
Difference Hash:00000c0c4d0c0800
Wavelet Hash:ffffc3c300000018
Color Hash:N/A

Other Hashes

Crop Resistant:00000c0c4d0c0800

Scan History

Scan history not available

Unable to load historical scan data