Security Scan Report: beatpost.app

Site favicon
Submitted: Oct 5, 2026, 2:26:44 AMCompleted: Oct 5, 2026, 2:27:25 AMpubliccompleted

This website contacted 10 IPs in 2 countries across 6 domains to perform 34 HTTP transactions. The main domain is beatpost.app and was registered 29 years ago.

Submitted URL: https://beatpost.app/article/617abe6ca8f9ac5e19e6f4dd6786d5c1

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

Self-branded news aggregator (Beatpost) reporting on sports stories with attribution to MLive. No forms, no impersonation, no Indicators of Compromise, YARA or IDS hits. Only a 50-day-old unranked domain — a weak prior, so low risk.

Risk Factors (2)
Recently registered domain (50 days old) — a weak prior, not evidence of wrongdoing
Unranked in Cisco Umbrella top 1M — describes a new site, not malicious behavior
Safety Factors (5)
Self-branding detected — page presents its own brand (Beatpost), not another entity's
No credential, login or payment form anywhere on the page
Article-type page reporting on public figures and sports news, with explicit attribution to the original source (MLive)
No Indicators of Compromise, no YARA malware, no IDS alerts, no obfuscated JavaScript or credential exfiltration
Third-party script hosts are standard infrastructure (Google Fonts, site platform assets)
Domain age information unavailable

Details

Page Title

Mike Tomlin reveals enormous Minecraft city he built over 12 years — Beatpost

Scan Type

public

Domain Name Analysis

The domain 'beatpost.app' uses the application-focused generic top-level domain (.app) with no subdomain. The second-level label 'beatpost' is 8 characters long split between 3 vowels and 5 consonants. It segments into two words: beat, post. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://beatpost.app/article/617abe6ca8f9ac5e19e6f4dd6786d5c1

Page Load Overview

2.56s
Total Load Time
1.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:1,867 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
72%
news media journalism
44%
documentation technical
36%
corporate
35%
government public service
34%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7162.159.142.117Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.95Google · CDNUnited States
AS15169Google LLC
3108.138.7.15Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3142.251.13.94Google · CDNUnited States
AS15169Google LLC
32.18.244.218Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
3108.138.7.81Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
3172.66.2.113Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
32.18.244.221Akamai · CDNSchiphol, North Holland, Netherlands
AS20940Akamai International B.V.
3104.18.0.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.1.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3410--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190632A24B2481B3C59278B98FBD9F3389224F286DB264425F15D017656C3FEAB8737D8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ByN99vWm0rGV4xksc64Jysq7v8OzXRXHYoYVY6YoY53M9lLlYSYRxJrfPLVlTHUS:gdebx/c64Jysq7vdGcJolq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:69519:IIGEZBTg6ikJIKUGPRij8qQBEOhIRABSBpANn4AymIpEwRMgahE6AkLWBBIUMBANqdBGgJBPBUgCDMkhgdRQAlMK7To4Qq1J

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:ffffcfc3c3c3c3c3
Perceptual Hash:b09ecf65cf249a30
Difference Hash:669e9c9696969617
Wavelet Hash:b3c7c3c3c3c3c381
Color Hash:#785b3a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data