Security Scan Report: casefb567629-utbg.vercel.app

Redirected to:
https://casefb567629-utbg.vercel.app/submit-application.html
Submitted: Oct 23, 2025, 7:25:50 AMCompleted: Oct 23, 2025, 7:27:24 AMpubliccompleted
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Summary

This website contacted 14 IPs in 2 countries across 5 domains to perform 47 HTTP transactions. The main domain is casefb567629-utbg.vercel.app.

Submitted URL: https://casefb567629-utbg.vercel.app/

Effective URL: https://casefb567629-utbg.vercel.app/submit-application.htmlRedirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Confirmed phishing scam impersonating Facebook on a brand‑new unranked domain.

Risk Factors
Brand impersonation on an unranked, newly registered domain
Credential harvesting password field
Collection of sensitive personal and business information
No malicious Indicators of Compromise matches found (absence does not mitigate other strong signals)
Domain not listed in Cisco Umbrella top 1M (low reputation)
Domain age information unavailable

Details

Page Title

New Tab

Scan Type

public

Language

🇺🇸

English

(71% confidence)

Category

social media network

(100%)

Domain Information

The domain 'casefb567629-utbg.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'casefb567629-utbg'. The second-level label 'vercel' is 6 characters long containing 2 vowels alongside 4 consonants. It segments into two words: ver, cel. Average segment length settles at 3 characters. 'ver' most strongly signals Portuguese. Usage also turns up in Portuguese (Brazil) and Galician contexts.

Screenshot

Security scan screenshot of https://casefb567629-utbg.vercel.app/

Page Load Overview

60.62s
Total Load Time
47
HTTP Requests
5
Domains
903 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:71%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:71%
Script Type:Latin
Text Length:39,211 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network100% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
100%
blog personal website
97%
documentation technical
95%
technology software
89%
government public service
88%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.58.206.42United States
AS15169GOOGLE
3216.239.34.36United States
AS15169GOOGLE
3216.239.32.36United States
AS15169GOOGLE
3104.17.24.14United States
AS13335CLOUDFLARENET
364.29.17.131United States
AS16509AMAZON-02
3216.198.79.131United States
AS16509AMAZON-02
3172.217.18.8United States
AS15169GOOGLE
32606:4700::6811:190eUnited States
AS13335CLOUDFLARENET
32a00:1450:4001:831::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
3104.17.25.14United States
AS13335CLOUDFLARENET
4714--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C61442A092F8437A4063C1DA9E5B7B272AE4B717E751A4C03B6C1B213FDBD54F9432A4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:dylZRwnTkW8Yjwz/CDBkBfTAlv4NKWI9z:oZwnTkW8eKuV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:205660:aCAwA2oAbowDOZBO6imhFjLwgEArACpCAEfJaAApWhIPEqo60IeoEIohBNBAAGAhBIEE62AWgFACYAZFAHxaB/AgnNRbVK1g

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

Unable to load historical scan data