Security Scan Report: my.metaview.app

Redirected to:
https://app.metaview.ai/auth/sign-in
Site favicon
Submitted: Completed: publiccompleted
This website contacted 14 IPs in 2 countries across 7 domains to perform 194 HTTP transactions. The main domain is metaview.app and was registered 8 years ago.

Submitted URL: https://my.metaview.app

Effective URL:
https://app.metaview.ai/auth/sign-in
Redirected

The Cisco Umbrella rank of the primary domain is #574,968 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate Metaview login page using secure SSO; no evidence of phishing or malware.

Safety Factors (4)
Established company with legal pages (Terms of Service, Privacy Policy, Data Processing Agreement)
Uses reputable third-party authentication services (WorkOS, Google, Microsoft)
Page secured with 256-bit AES and SSL/TLS encryption
No credential or payment forms that capture sensitive data beyond email for SSO
Domain age information unavailable

Details

Page Title

Sign in ∙ Metaview

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'my.metaview.app' is registered with subdomain 'my'. The core label 'metaview' covers 8 characters split between four vowels and 4 consonants. Word splitting yields two words: meta, view. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Br Metaview Sign in to Metaview G Continue with Google > 8 Continue with Microsoft > or 2 signing in? Secured by 256-bit AES and 256-bit SSL/TLS encryption VY GDPR VY CCPA Vv LGPD v PIPEDA Vv S...

Page Load Overview

1.24s
Total Load Time
2.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:379 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
83%
documentation technical
44%
government public service
32%
adult content
26%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2563.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
13142.251.110.97Google · CDNUnited States
AS15169Google LLC
133.174.46.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
1318.66.122.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
13104.18.41.116Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
13172.64.146.140Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
133.141.91.123Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
1335.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1318.66.122.129Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
133.174.46.104Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
19414--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EBE2187ADB5093B5401FC99BD5E1BA3FB72BAE11CA090243B3AC1A18B345CFDF562950

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:tD7SVktSP02nlkdCfriwIr3nYEiwIr3nYbpvoTdMRa2yHxDFdKwOacWuDsz/0jnc:xKktSPLlkKriwIrXYEiwIrXY9wTjdrj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33622:jJSMXBxGQFPEiRIGAApBuXAQBWoBIiCtQeqvuCkUBdEkBAdCRFgETEsYlQ8IAgJQJAgHACmTChAxSLs4TYCuDBIlDAUYAHPh

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:e7ffe7e7ffe7e7e6
Perceptual Hash:f78adc8877227688
Difference Hash:08000c0c080c0c0c
Wavelet Hash:e4fcc0c0c3c3e7c2
Color Hash:N/A

Other Hashes

Crop Resistant:08000c0c080c0c0c

Scan History

Scan history not available

Unable to load historical scan data