Security Scan Report: www.comeandseefoundation.org

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Submitted: Completed: publiccompleted
This website contacted 81 IPs in 4 countries across 50 domains to perform 311 HTTP transactions. The main domain is comeandseefoundation.org and was registered 5 years ago.

Submitted URL: https://www.comeandseefoundation.org/watch

The Cisco Umbrella rank of the primary domain is #930,033 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

Official Come and See Foundation 'The Chosen' watch page: 4-year-old nonprofit domain, self-branded, legal pages and address disclosed, no forms or credential collection, and no threat-intel, hunting rule or phishing evidence.

Safety Factors (6)
Well-established domain registered 2021-11-11
Legal pages present (Terms of Service, Privacy Policy, Disclosures) and nonprofit tax identification disclosed
Physical mailing address and business entity disclosed
No credential or payment collection anywhere on the page
No Indicators of Compromise, no JavaScript malware, no Safe Browsing hit
Third-party scripts all served from top-1M-ranked, legitimate providers
Domain age information unavailable

Details

Page Title

Watch 'The Chosen': Experience the Authentic Jesus Story Today

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.comeandseefoundation.org' on the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. Count 20 characters in 'comeandseefoundation' holding ten vowels versus 10 consonants. It segments into four words: come, and, see, foundation. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

COMENZSEE} PASU USMCESOUSCESIRTEANSLATION EGET INVOLVED F v9 ~ Season 7 Production is fully funded. - —— More than 87,000 supporters across 175 countries helped bring Season 7 tolife. 0 (ety) ie ty...

Page Load Overview

6.70s
Total Load Time
6.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,313 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7113.35.58.8Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
313.35.58.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3104.18.161.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3184.24.77.134Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3104.16.179.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
318.64.181.181Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3153.52.255.124United States
AS14618Amazon.com, Inc.
3142.251.14.95Google · CDNUnited States
AS15169Google LLC
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
31181--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10CB3856679506629D2D3CB8891727A84792238DFFEB39CDCB04CA3B40FDC7E24C1565A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:tlhrTVlpuO5FZez9JABnhSCrrom/w+pC0ML4NbNzNbNxMYc:9nnh+Tz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:115614:pVAQhwxiwTjQNBAlNLEEQBVlAAQCR1EIaAWQGNkABRUAAUEpkRHgEAmgAMkCCSMEBTRQJyiJUGvhQCwKxKJxoG0EAGBCWSPr

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:003c3c10303c3c00
Perceptual Hash:ca6d339364ccb331
Difference Hash:037971f565697181
Wavelet Hash:013c3dfd3d3d3d00
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data