Security Scan Report: valuxlmstevgi-git-main-valuxlmstesting.vercel.app

Submitted: Completed: publiccompleted
This website contacted 9 IPs in 1 country across 6 domains to perform 27 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://valuxlmstevgi-git-main-valuxlmstesting.vercel.app/bgv%20copy.html

AI Security Verdict

Confirmed Scam

Confidence: 93%

10
Risk Score

Fake 'Webmail Portal Login' on a vercel.app subdomain that captures email/password and POSTs them cross-origin to enhancednucleus.app; four HIGH ET PHISHING alerts confirm an XHR credential-phishing landing page.

Risk Factors (5)
Credential form (password + email/phone) whose data is sent cross-origin to enhancednucleus.app via XHR POST — credential exfiltration
High-severity ET PHISHING alerts indicating an Ajax XHR credential-POST phishing landing page
Deceptive 'webmail portal' login façade with hidden redirect/state fields and fake password-retry error messages
Hosted on a free vercel.app subdomain flagged in IDS as a commonly actor-abused cloud hosting service; actual page age unknown
No domain reputation (unranked in Cisco Umbrella)
Domain age information unavailable

Details

Page Title

Webmail Portal Login

Scan Type

public

Domain Name Analysis

Domain 'valuxlmstevgi-git-main-valuxlmstesting.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'valuxlmstevgi-git-main-valuxlmstesting'. The registrable portion 'vercel' spans 6 characters holding two vowels versus four consonants. Breaking it apart gives 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://valuxlmstevgi-git-main-valuxlmstesting.vercel.app/bgv%20copy.html

Page Load Overview

0.74s
Total Load Time
204 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:152 chars
Detector Agreement:100%

Website Classification

Primary Category

phishing scam38% confidence
Type: webapp
Method: ml+structural

All Detected Categories

phishing scam
38%
news media journalism
35%
adult content
32%
government public service
30%
finance banking
26%

Detected Features

Login Form

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
3104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.11.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3209.94.90.1United States
AS40680Protocol Labs
3104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3172.64.147.188Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
279--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18C32D88168F55052213390B83AFB93083AA1C40B9D4ACD6471FC79985FD9F9AB8737CD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:UIZw29UaYSFSFDF3FDFbzFl3FQAw41CU8GIMPbxOq6x7NoLGZ4Cx8Tzgd:UaN1fFSFDF3FDFnFxFzwidDSKCx8vgd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11751:A3WAJWIogJbANQRBigC+Yg1IQIvAuPKmklAAGQYZswIEzIfYzACMRAE5pmITBEJQIwZFGAoVGADaSE7IEAAtgWuYghUAfE0a

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:1838381800000000
Perceptual Hash:cccc33333366cc33
Difference Hash:32b2b2b24c300000
Wavelet Hash:383c383800003030
Color Hash:#2dd2d0

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data