Security Scan Report: jh-topaz.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 1 country across 3 domains to perform 17 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

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

AI Security Verdict

Confirmed Scam

Confidence: 97%

10
Risk Score

Meta-branded phishing page on a vercel.app subdomain that lures 'suspended' advertisers into entering their password and 2FA code; submissions can be sent to a Telegram bot. Safe Browsing confirms social engineering. Do not enter credentials.

Risk Factors (6)
Brand impersonation of Meta on a domain that is not Meta's (jh-topaz.vercel.app, unranked in Cisco Umbrella)
Password field plus 2FA/one-time-code capture on a page whose stated purpose is an 'appeal'
Telegram bot exfiltration channel embedded in page JavaScript
Google Safe Browsing social-engineering verdict
Right-click/context-menu blocking and JavaScript obfuscation heuristics
Free instant-hosting subdomain with unknown actual creation date
Domain age information unavailable

Details

Page Title

Meta Business Help Center

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'jh-topaz.vercel.app' is registered and includes subdomain 'jh-topaz'. The core label 'vercel' covers 6 characters split between two vowels and four consonants. Splitting it apart reveals 2 words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

00 Meta : (—) Your advertising account may be suspended Privacy Center We have received multiple reports stating that your advertising account violates trademark rights. After a detailed review, we h...

Page Load Overview

0.62s
Total Load Time
707 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
764.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
2104.26.5.15Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
264.29.17.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.26.4.15Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
176--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11944F86637F921360247A07A5E2F860B7735D487660A58083E5C17D80F5EC7AE6B3FB8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:iUq1d0IC7HQBEUSFKy6xw68zkBfTAlv4iKIIbJJ:Tq1d0UTSFKyAv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:274698:JAAcgUZAAqNFaiI8wCSpgCCJDAqjP4diogBzI8MqINQGCIADiMkIQFQ5ZGcTYBSIyDgUohIwHEAIcCoNoARWIVRAWYiB0gBR

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:8383fff3f7f7f3e3
Perceptual Hash:a43839b267e6c3c3
Difference Hash:363634242404240a
Wavelet Hash:8383939397c7d383
Color Hash:N/A

Other Hashes

Crop Resistant:363634242404240a

Scan History

Scan history not available

Unable to load historical scan data