Security Scan Report: www.chatbox-verify-supportupgrade.vercel.app

Redirected to:
https://chatbox-verify-supportupgrade.vercel.app/
Site favicon
Submitted: Completed: publiccompleted
This website contacted 17 IPs in 1 country across 12 domains to perform 26 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: http://www.chatbox-verify-supportupgrade.vercel.app/

Effective URL:
https://chatbox-verify-supportupgrade.vercel.app/
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 92%

9
Risk Score

Fake 'Meta Verified' support page on a vercel.app subdomain using Meta branding and a Telegram bot exfiltration script to collect submitted details; impersonates Meta and should be reported.

Risk Factors (5)
Impersonation of the Meta brand on a non-Meta domain
Telegram bot token in page script (messaging-bot exfiltration channel)
Deceptive subdomain masquerading as Meta verification/support
Credential/information harvesting pretext ('submit your request, provide all required information')
Hosted on a free developer platform namespace with unknown creation date
Domain age information unavailable

Details

Page Title

Meta Verified - Rewards for you

Scan Type

public

Domain Name Analysis

Domain 'www.chatbox-verify-supportupgrade.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'www.chatbox-verify-supportupgrade'. The core label 'vercel' covers 6 characters containing 2 vowels alongside 4 consonants. Breaking it apart gives 2 words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.chatbox-verify-supportupgrade.vercel.app/

Page Load Overview

2.08s
Total Load Time
1.7 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
48%
corporate business
44%
technology software
43%
social media network
42%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1064.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1216.198.79.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.110.102Google · CDNUnited States
AS15169Google LLC
1142.251.154.120Google · CDNUnited States
AS15169Google LLC
1142.251.20.95Google · CDNUnited States
AS15169Google LLC
134.117.59.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
1142.251.13.94Google · CDNUnited States
AS15169Google LLC
2617--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147922A225664012AFE83C0E1ECE273697546E2C7C72AC9E5BFDC1212BFD7DE604DA644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:JdZOjhL7OhRO4HMiYojk/jMwLAYsw4UaQ7Fy:JdZOjhnOhRDbYr/jB4UT7Fy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20262:gYUUBUSyFARREYwoSDwapJXaAQnDAi0Br4MHDJ0IxdBkQQBlCADbGzsUNqNGgILYFdciRlFDzAILIwCAZCJKoisaUZR6NEAp

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:b37198ce261cdcc6
Difference Hash:9c9f9f8e4d324dca
Wavelet Hash:c4c0c1c3c70f1f3f
Color Hash:#a240bf

Other Hashes

Crop Resistant:9c9f9f8e4d324dca

Scan History

Scan history not available

Unable to load historical scan data