Security Scan Report: www.metamaneger-auth399515.vercel.app

Redirected to:
https://metamaneger-auth399515.vercel.app/required.html
Submitted: Completed: publiccompleted
This website contacted 15 IPs in 1 country across 12 domains to perform 51 HTTP transactions. The main domain is vercel.app and was registered 6 years ago.

Submitted URL: https://www.metamaneger-auth399515.vercel.app/

Effective URL:
https://metamaneger-auth399515.vercel.app/required.html
Redirected

AI Security Verdict

Confirmed Scam

Confidence: 96%

10
Risk Score

Confirmed Meta-brand phishing lure: an account-restriction/Community Standards scare page on a vercel.app subdomain, flagged by Safe Browsing for social engineering and using anti-DevTools plus a Telegram bot exfiltration channel.

Risk Factors (7)
Safe Browsing social-engineering verdict
Impersonation of Meta's brand and Community Standards enforcement messaging
Suspicious impersonating subdomain on shared hosting (metamaneger-auth399515.vercel.app), creation date unknown
Anti-analysis DevTools blocking on a page that is not the real service
Telegram bot token embedded in page script (out-of-band collection channel)
IDS alerts: three HIGH ET INFO alerts and two MEDIUM abused-cloud-hosting alerts in the session
Domain absent from Cisco Umbrella ranking while claiming to be a major brand
Domain age information unavailable

Details

Page Title

Meta | Community Standards Violation

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'www.metamaneger-auth399515.vercel.app' is registered and includes subdomain 'www.metamaneger-auth399515'. The registrable portion 'vercel' spans 6 characters containing two vowels alongside four consonants. It segments into 2 words: ver, cel. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.metamaneger-auth399515.vercel.app/

Page Load Overview

8.42s
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
9216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3151.101.193.229Fastly · CDNUnited States
AS54113Fastly, Inc.
3104.26.3.143Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3216.198.79.67Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.14.100Google · CDNUnited States
AS15169Google LLC
3172.67.68.11Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.13.94Google · CDNUnited States
AS15169Google LLC
5115--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C9C2F72526B5013B5E83C0E1F4E0BF89B985E3C3C72BD5E9BBDD1112AFC6DD24996214

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:NOKhL7zxfS8h9gTUt5zYBW6VnQ3babYXy3hEu+tfHQpTw4UaQ79y:NOKhnzxfS8hjdYB7VIiD32jtfHGUT79y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26497:ACLCSSQSfG7MQDniwSUYAYYNYYRREV4I0RBYISdkgUBAIEpMAMQBrAIyFlghQCIUDACAmOADIAREhJMCCDGcGgFyoIMLMACN

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:#35d22d

Other Hashes

Crop Resistant:6733230b3f273e2e

Scan History

Scan history not available

Unable to load historical scan data