Security Scan Report: jh-topaz.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 8 IPs in 1 country across 5 domains to perform 25 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://jh-topaz.vercel.app/capcha.html

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Fake Meta Business Help Center on a vercel.app subdomain: counterfeit reCAPTCHA, fabricated ad-account suspension appeal that harvests password and 2FA codes, exfiltrated via a Telegram bot. Safe Browsing social-engineering hit.

Risk Factors (8)
Safe Browsing social-engineering/phishing detection
Counterfeit reCAPTCHA widget drawn by the page itself
Brand impersonation of Meta on a domain that is not Meta's
Harvests account password and two-factor authentication codes
Telegram-bot exfiltration of submitted data
Right-click/context menu blocked (anti-analysis)
Unranked domain on free vercel.app shared hosting with unknown page age
IDS alerts noting vercel.app as an actor-abused hosting service
Domain age information unavailable

Details

Page Title

Meta Business Help Center

Scan Type

public

Domain Name Analysis

The domain 'jh-topaz.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'jh-topaz'. The registrable portion 'vercel' spans 6 characters with 2 vowels and four consonants. Word splitting yields 2 words: ver, cel. Expect 3 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Meta reCAPTCHA I'm not a robot This helps us to combat harmful conduct, detect and prevent spam and maintain the integrity of our Products. We've used Google's reCAPTCHA Enterprise product to prov...

Page Load Overview

0.46s
Total Load Time
847 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:10,189 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
38%
corporate business
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
464.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
3216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.26.2.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.250.154.95Google · CDNUnited States
AS15169Google LLC
3104.26.5.15Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
258--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E444F86637F921360247A07A5E2F860B7735D487660A58083E5C17D80F5EC7AE6B3FB8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:EUq1d0IC7HQBEUSFKy6xw68zkBfTAlv4iKIIbJJ:dq1d0UTSFKyAv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:274719:BXMJoQjBB6zQgqAAASBTQkGAIWj+4BMiBDHKDCQElqIAKACAAYkRoECUByqQIMgGrDAFERLYogpG1hIVhEYxqRVBAUBghqiK

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:efe7e7e7ffffffff
Perceptual Hash:b333cccc99339199
Difference Hash:080c0c0c00000000
Wavelet Hash:ece4e4e400000000
Color Hash:N/A

Other Hashes

Crop Resistant:080c0c0c00000000

Scan History

Scan history not available

Unable to load historical scan data