Security Scan Report: beacons.ai

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Submitted: Feb 16, 2026, 2:24:10 PMCompleted: Feb 16, 2026, 2:25:39 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is beacons.ai and was registered NaN years ago.

Submitted URL: https://beacons.ai/cliffpierreceo

The Cisco Umbrella rank of the primary domain is #92,870 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no security concerns.

Safety Factors
Well‑established domain (>8 years old)
Top‑100k Cisco Umbrella ranking
No malicious Indicators of Compromise detected
No suspicious forms or data collection
Meta tags are generic and not brand‑impersonating
Domain age information unavailable

Details

Page Title

beacons.ai

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(78%)

Domain Information

Domain 'beacons.ai' uses the Anguillan country-code top-level domain (.ai) without a subdomain. Count 7 characters in 'beacons' split between 3 vowels and 4 consonants. Breaking it apart gives 1 word: beacons. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://beacons.ai/cliffpierreceo

Page Load Overview

13.96s
Total Load Time
37
HTTP Requests
3
Domains
0 KB
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
Text Length:38,034 chars
Detector Agreement:67%

Website Classification

Primary Category

news media journalism78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
78%
healthcare medical
75%
technology software
65%
education learning
64%
gambling betting
62%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37104.20.24.128United States
AS13335Cloudflare, Inc.
371--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18A048E77329A063986558498F05B43099F21B143F506C8BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4fQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszK2bMy8Oldm:zhoC9JSqzzbs6o3Sj3gcrs22eAI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184483:CoIBI4BT5EsjFSCICHEcYM2ATXhEIGBYEGBU8h5AgCSqBRwCUkBotUgTJKEgiGkYCPQMokgBRkYEk1wAociVRwpAgAHCGMCY

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:ffcfc7c7ffffffff
Perceptual Hash:b331cccccc633333
Difference Hash:00180c1400000000
Wavelet Hash:fcdcc0cc00000000
Color Hash:#bfa840

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data