Security Scan Report: enterprisedigitalcampaign-managemen.vercel.app

Submitted: Completed: publiccompleted
This website contacted 16 IPs in 1 country across 10 domains to perform 26 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://enterprisedigitalcampaign-managemen.vercel.app/required.html

AI Security Verdict

Confirmed Scam

Confidence: 95%

10
Risk Score

Fake Meta 'Community Standards Violation' review page on a free vercel.app subdomain. It impersonates Meta, harvests contact/account details, hides from inspectors with disable-devtool, and ships submissions to a Telegram bot. Report and do not enter any information.

Risk Factors (6)
Impersonation of Meta's brand and Community Standards enforcement UI on a domain Meta does not own
Telegram bot exfiltration channel embedded in page scripts
Anti-DevTools / anti-inspection library used to hide the page from reviewers
Attractive data-collection form (email/username fields) framed as account review and activation
Deceptive, brand-adjacent subdomain on shared hosting with no established reputation
Network IDS flagged the hosting service as commonly abused by threat actors
Domain age information unavailable

Details

Page Title

Meta | Community Standards Violation

Scan Type

public

Domain Name Analysis

The domain name 'enterprisedigitalcampaign-managemen.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'enterprisedigitalcampaign-managemen'. The second-level label 'vercel' is 6 characters long with 2 vowels and four consonants. Tokenizing the label suggests two 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

1.23s
Total Load Time
1.0 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%

All Detected Languages

🇺🇸en(97%)🇩🇪de(3%)

Website Classification

Primary Category

documentation technical50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
50%
social media network
37%
government public service
36%
technology software
35%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.155.120Google · CDNUnited States
AS15169Google LLC
1172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.14.100Google · CDNUnited States
AS15169Google LLC
164.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1142.251.127.100Google · CDNUnited States
AS15169Google LLC
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
1104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2616--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5C2E72526B5002B5EC3C0E1F4E0BF89B985E3C3C72BD5E9BBDD1112AFC6DD24996214

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:NOghL7zxfS8h9gTUt5zYBW6VnQ3babYXy3hEu+tfHQpTw4UaQ79y:NOghnzxfS8hjdYB7VIiD32jtfHGUT79y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26501:EQksKQIABYCNjAgIFigCA8UgJYmpujAg2I1xUGgkAAUDZGWQUMOmDjsUcMEhgCBRmMJCETQAYIIT8FIUAEoAGdATECxRBAaM

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:07206008000

Other Hashes

Crop Resistant:6733230b3f273e2e

Scan History

Scan history not available

Unable to load historical scan data