Security Scan Report: txorliva-kext927461835.vercel.app

Redirected to:
https://txorliva-kext927461835.vercel.app/index1.html/
Submitted: Completed: publiccompleted
This website contacted 16 IPs in 1 country across 11 domains to perform 31 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://txorliva-kext927461835.vercel.app/index1.html/

Effective URL:
https://txorliva-kext927461835.vercel.app/index1.html/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Facebook/Meta 'Page Appeal' login on a throwaway vercel.app subdomain that collects email and password under a 24-hour deletion threat — textbook brand-impersonation credential phishing.

Risk Factors (6)
Brand impersonation of Meta/Facebook on a non-official domain
Credential-harvesting login form (email + password) presented as a Facebook login
Urgency/threat-of-deletion social engineering to force credential entry
Randomly named subdomain on a free shared hosting platform with unknown creation date
IDS alerts for actor-abused cloud hosting (vercel.app)
Cross-origin script beacon to get.geojs.io inconsistent with a Meta login page
Domain age information unavailable

Details

Page Title

Meta for Business - Page Appeal

Scan Type

public

Domain Name Analysis

You're looking at domain 'txorliva-kext927461835.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'txorliva-kext927461835'. The registrable portion 'vercel' spans 6 characters containing 2 vowels alongside four consonants. Word splitting yields two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://txorliva-kext927461835.vercel.app/index1.html/

Page Load Overview

6.14s
Total Load Time
197 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:3,009 chars
Detector Agreement:67%

Website Classification

Primary Category

corporate business38% confidence
Type: webapp
Method: ml+structural

All Detected Categories

corporate business
38%

Detected Features

Login Form
Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1151.101.193.155Fastly · CDNUnited States
AS54113Fastly, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.20.138Google · CDNUnited States
AS15169Google LLC
1142.250.154.94Google · CDNUnited States
AS15169Google LLC
1142.251.110.95Google · CDNUnited States
AS15169Google LLC
1172.67.70.233Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.94Google · CDNUnited States
AS15169Google LLC
1142.251.154.119Google · CDNUnited States
AS15169Google LLC
3116--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCF24E11A9A5D82A81CF59D866B3652525F99307C212898CFE7CABF10FAFC7CCB73144

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:FbNcQ43FIIACADGkJZUZNqIgcGvsjTMe8GVu9pgUT7FDy:6FIZfJoiHl4u9pj7FDy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:36340:iMSBAEC8YJBlERuDBAAiTN0ECEMiEwEqGAjpnIYAYXiMFh0UKUFKEAQRIAarMCTIQHaURAAEUZCJSACBSpEoy74mB0kABIio

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:fefefefefefefefe
Perceptual Hash:d555aa55aa55aa54
Difference Hash:0000000000000000
Wavelet Hash:0e0e0e0e0e0e0e0e
Color Hash:#931f3c

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data