Security Scan Report: missallamericanbeauties.com

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Submitted: Sep 7, 2026, 7:48:03 AMCompleted: Sep 7, 2026, 7:49:42 AMpubliccompleted

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

The page appears legitimate, with no phishing, malware, or scam indicators.

Safety Factors
Established domain with no reputation issues
Self‑branding aligns with domain
No malicious scripts or forms
Domain age information unavailable

Details

Page Title

Miss All American Beauty

Scan Type

public

Domain Name Analysis

The domain 'missallamericanbeauties.com' uses the commercial generic top-level domain (.com). Count 23 characters in 'missallamericanbeauties' with eleven vowels and 12 consonants. It segments into 4 words: miss, all, american, beauties. The median word length lands at six characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://missallamericanbeauties.com/

Page Load Overview

2.66s
Total Load Time
988 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:11,072 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical89% confidence
Type: spa
Method: ml+structural

All Detected Categories

healthcare medical
89%
adult content
87%
news media journalism
74%
entertainment media
72%
government public service
70%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13142.251.110.97Google · CDNUnited States
AS15169Google LLC
776.223.105.230Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
723.207.210.148Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
7166.117.236.66Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
713.248.243.5Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
7216.239.34.36Google · CDNUnited States
AS15169Google LLC
723.207.210.143Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
723.214.129.203London, England, United Kingdom
AS16625Akamai Technologies, Inc.
628--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EE34D893210C136CC2F38CE454953AD07186E15BC9A196B0C7F81E396BC9BA5637AFBD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:9CFCHyNDl0EGnuTUEVZ4HiODtEqF9XEqO1M+MJ8UknkvG/ip7tpaiTVJDQHFji2d:9CFCH8DiAYp/6Shke3Aid+a7RG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:237757:F1Z4RwEQACA0DgVESc3FKAdKRDIAIhTgChEEgawwiLEEIFnjcggQqTCQsYEkIRCFMIAgkIhiDIas8IpAoQhA4BwM6JKKiXEI

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:81e7efffe7e3c7c7
Perceptual Hash:b3cc336e198c263b
Difference Hash:33080d334d4d0d1d
Wavelet Hash:81e7e7ffc1c18181
Color Hash:#77d22d

Other Hashes

Crop Resistant:33080d334d4d0d1d

Scan History

Scan history not available

Unable to load historical scan data