Security Scan Report: supportforpolicycompliance.vercel.app

Redirected to:
https://supportforpolicycompliance.vercel.app/required.html
Submitted: Completed: publiccompleted
This website contacted 22 IPs in 1 country across 10 domains to perform 49 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://supportforpolicycompliance.vercel.app/

Effective URL:
https://supportforpolicycompliance.vercel.app/required.html
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 95%

9
Risk Score

Fake Meta 'Community Standards Violation' appeal page on a vercel.app subdomain, flagged by Safe Browsing for social engineering and wired to exfiltrate submitted data to a Telegram bot. Do not interact.

Risk Factors (5)
Impersonation of Meta's brand and Community Standards enforcement notices on a non-Meta domain
Google Safe Browsing Social Engineering detection
Telegram bot exfiltration channel embedded in page scripts
Anti-DevTools cloaking library used to evade inspection
Hosting-platform subdomain with unknown creation date and no domain reputation
Domain age information unavailable

Details

Page Title

Meta | Community Standards Violation

Scan Type

public

Domain Name Analysis

Domain 'supportforpolicycompliance.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'supportforpolicycompliance'. The second-level label 'vercel' is 6 characters long containing two vowels alongside 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Meta TD KKRKK Violation of Community Standards x) | t = P Our technology and review teams help detect and review content that may violate our policies. When we find content that doesn’t follow our Co...

Page Load Overview

18.55s
Total Load Time
1.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,429 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
49%
social media network
37%
government public service
36%
technology software
35%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
764.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
264.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
2104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.20.102Google · CDNUnited States
AS15169Google LLC
2142.251.153.120Google · CDNUnited States
AS15169Google LLC
2142.251.14.95Google · CDNUnited States
AS15169Google LLC
2142.251.127.94Google · CDNUnited States
AS15169Google LLC
2142.251.157.119Google · CDNUnited States
AS15169Google LLC
4922--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18DC2F72526B5013B5EC3C0E2F4E0BF89B985A3C3C72BD5E9BBDD1112AFC6DD24996214

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:NOwhL7zxfS8h9gTUtFzYBW6VnQ3babYXy3hEu+tfHQpTw4UaQ79y:NOwhnzxfS8hjZYB7VIiD32jtfHGUT79y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26437:E6yRqxRBEcIlggBABCEChAEANIqYCpQFSIMJcCkEjZeqZMUYQG4gTwIVJEAkACFCvtpCFxHIQAYYAVUpigKASTABIRlQpBRA

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:f30101cbcfffffff
Perceptual Hash:ed69849696864e7a
Difference Hash:6733230b3f273e2e
Wavelet Hash:0300008b8fff8fff
Color Hash:N/A

Other Hashes

Crop Resistant:6733230b3f273e2e

Scan History

Scan history not available

Unable to load historical scan data