Security Scan Report: badge-system-ten.vercel.app

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Submitted: Aug 25, 2026, 12:45:35 AMCompleted: Aug 25, 2026, 12:48:19 AMpubliccompleted

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Page impersonates Meta/Facebook via meta tags but lacks credential collection; moderate risk due to brand mismatch and unranked hosting subdomain.

Risk Factors (3)
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Shared‑hosting subdomain with unknown age
Safety Factors (4)
No password, email, or payment fields
No malicious JavaScript YARA matches
Legal pages (terms/privacy) are present
No external IoC or Safe‑Browsing hits
Domain age information unavailable

Details

Page Title

Official Notice from Facebook

Scan Type

public

Domain Name Analysis

The domain 'badge-system-ten.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'badge-system-ten'. The core label 'vercel' covers 6 characters holding two vowels versus 4 consonants. Tokenizing the label suggests two words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://badge-system-ten.vercel.app/privacy-center

Page Load Overview

5.99s
Total Load Time
1.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,341 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
89%
documentation technical
37%
technology software
37%
government public service
35%
corporate business
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2364.29.17.67United States
AS16509Amazon.com, Inc.
231--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED815353FE0CCE570521E99DD45AB2ADC017883ADD38EC20E1DE425D2261FE947A3DE2

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:bUi4GizlMNZG2AGWQa/WGWE/EfluTYNIkgf9W4piIH/S5W2C9qJO2jiW2C9qJOMQ:QvbitAVZuJforj/SnUfFa5xnvmvg9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4177:BQ0EAKAJABQEVNEIARQBABEggAgUBBAAEgG4AkICEBChIBgIAAQgAECAABJAEAEAQjQQIAoCAgITQBBAEwEoACiCARAAgggq

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:0001039fffffffff
Perceptual Hash:b83a23633c3c3ce3
Difference Hash:1f9f3f3700000000
Wavelet Hash:00000000ffffffff
Color Hash:#5f2d86

Other Hashes

Crop Resistant:1f9f3f3700000000

Scan History

Scan history not available

Unable to load historical scan data