Security Scan Report: goodblacknews.org

Site favicon
Submitted: May 2, 2026, 7:07:04 PMCompleted: May 2, 2026, 7:08:22 PMpubliccompleted
Loading additional data...

Summary

This website contacted 11 IPs in 2 countries across 12 domains to perform 53 HTTP transactions. The main domain is goodblacknews.org and was registered NaN years ago.

Submitted URL: https://goodblacknews.org/tag/anthony-ramos/

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no malicious indicators; safe for normal browsing.

Safety Factors
Long‑standing domain registration
Absence of malicious Indicators of Compromise
No credential‑collecting forms
Self‑branding matches domain
No IDS or network alerts
Domain age information unavailable

Details

Page Title

Anthony Ramos – Good Black News

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(73%)

Domain Information

Domain 'goodblacknews.org' uses the non-profit oriented generic top-level domain (.org) while skipping any subdomain. Count 13 characters in 'goodblacknews' with 4 vowels and nine consonants. Segmentation suggests 3 words: good, black, news. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://goodblacknews.org/tag/anthony-ramos/

Page Load Overview

8.55s
Total Load Time
293
HTTP Requests
29
Domains
2.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:13,057 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media73% confidence
Type: spa
Method: ml+structural

All Detected Categories

entertainment media
73%
corporate business
43%
news media journalism
42%
adult content
33%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3350.87.249.234United States
AS46606Unified Layer
26192.0.77.2San Francisco, California, United States
AS2635Automattic, Inc
26142.251.13.95United States
AS15169Google LLC
26192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
26146.75.123.42Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
26142.251.13.136United States
AS15169Google LLC
26142.251.110.91United States
AS15169Google LLC
26146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
26192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
26142.251.20.94United States
AS15169Google LLC
29311--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T174C3D7B284B801B9C31A52C6D455B22DE1EB1A6ECE804C89F7FD53BDA7C1F78607E059

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:xXmLFzf2bsuP5CjvcQ1btZku1ePQrCUfqYETjuFpg:UZf2bDP5S0iw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:124719:NGkABKWMBACLARCgaGEANC6qAkfEBuZnUCEaDcNAiZAM5jUMxGmkwRdEA2wgQIdJByYoAAEQEFjhAEgKGYEAEgMg6IHCCmhN

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:c3c7ffff8383e7ef
Perceptual Hash:b68dc936c9c81e66
Difference Hash:139e239e0f0d0d0b
Wavelet Hash:81c3dfdf8381c1e1
Color Hash:#d2ca2d

Scan History

Scan history not available

Unable to load historical scan data