Security Scan Report: aw2-inky.vercel.app

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Submitted: Completed: publiccompleted
This website contacted 5 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://aw2-inky.vercel.app/pr.html

AI Security Verdict

Confirmed Scam

Confidence: 98%

10
Risk Score

Confirmed phishing: a fake 'Meta Business Help Center' appeal page on an unranked vercel.app subdomain that impersonates Meta, captures passwords and 2FA codes, and exfiltrates data to a Telegram bot; flagged by Google Safe Browsing for social engineering.

Risk Factors (6)
Brand impersonation: Meta displayed on a domain that is not Meta's official domain
Google Safe Browsing 'Social Engineering' threat on the page
Credential harvesting form: password field plus 6-digit two-factor authentication code capture
Telegram bot token in inline script — messaging-bot exfiltration channel (api.telegram.org)
Domain unranked in Cisco Umbrella and hosted on an instant-publish vercel.app subdomain of unknown age
Right-click/context-menu blocking (anti-analysis behavior)
Domain age information unavailable

Details

Page Title

Meta Business Help Center

Scan Type

public

Domain Name Analysis

The domain name 'aw2-inky.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'aw2-inky'. Count 6 characters in 'vercel' split between two vowels and four consonants. Tokenizing the label suggests two words: ver, cel. The median word length lands 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
758 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
564.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.13.95Google · CDNUnited States
AS15169Google LLC
3104.26.4.15Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3172.67.75.166Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
175--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11A44F86637F921360247A07A5E2F860B7735D487660A58083E5C17D80F5EC7AE6B3FB8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:iUq1d0IC7HQBEUSFKy2xw68zkBfTAlv4iKIIbfJ:Tq1d0UTSFKykp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:274696:JhpsREEAAzAaUVKIEMyQQQCM6C0YyRFCBBXhTA1LMBIAIKIIDDWCDUKRYNzwlAEvAxIumUAwuAQl0ICCQAdgFOK0Aak0ZSEg

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:8383f7f3f3fff3e7
Perceptual Hash:a4381a3d65c6d3c7
Difference Hash:3e362c26260c240e
Wavelet Hash:8383979393c79783
Color Hash:N/A

Other Hashes

Crop Resistant:3e362c26260c240e

Scan History

Scan history not available

Unable to load historical scan data