Security Scan Report: bluebadge-status-update.vercel.app

Redirected to:
https://bluebadge-status-update.vercel.app/privacy-centers.html
Submitted: Completed: publiccompleted
This website contacted 18 IPs in 1 country across 12 domains to perform 46 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://bluebadge-status-update.vercel.app/

Effective URL:
https://bluebadge-status-update.vercel.app/privacy-centers.html
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

10
Risk Score

Fake 'Meta Verified' rewards page on a vercel.app subdomain, flagged by Safe Browsing for social engineering and running an embedded Telegram bot token for data exfiltration.

Risk Factors (5)
Google Safe Browsing: Social Engineering / phishing threat detected
Impersonation of Meta's brand (logo/branding, blue-badge verification scheme) on an unrelated vercel.app subdomain
Telegram bot token embedded in page script — ready-made exfiltration channel
Deceptive 'verified badge / account evaluation' workflow designed to harvest user information
Unranked domain with no legitimate relationship to Meta
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

The domain 'bluebadge-status-update.vercel.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'bluebadge-status-update'. The registrable portion 'vercel' spans 6 characters holding 2 vowels versus four consonants. It segments into 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://bluebadge-status-update.vercel.app/

Page Load Overview

1.25s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,690 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
52%
documentation technical
47%
corporate business
43%
technology software
43%
social media network
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.14.138Google · CDNUnited States
AS15169Google LLC
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
234.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
2142.251.13.94Google · CDNUnited States
AS15169Google LLC
2142.251.153.119Google · CDNUnited States
AS15169Google LLC
4618--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E08209225268002ABE83C1D2ECE172697446E2C7D72AD9F5FFCD1212BFD7DE604DA644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:uO0hL7OhRO4HMiY0R/H0wLAYaroUa878y:uO0hnOhRDbY0R/HJpUf78y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19080:BQZRp1BGEHI0NKNI8Ew7yOJYoEIBkoBKgVgiPCFxDKHQABHAElEKCHSB1MyAOhAEGQAEASgLGQoIokaNrjzkaGhCkeAZ11BD

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:c7c7c3c3e7ffffff
Perceptual Hash:b37198ce269cccc6
Difference Hash:9c9f9f8e4d324dca
Wavelet Hash:c4c0c1c3c70f1f3f
Color Hash:#e06c79

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data