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Security Scan Report: www.blakeman2025.com

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Submitted: Dec 9, 2025, 1:16:25 PMCompleted: Dec 9, 2025, 1:17:40 PMpubliccompleted
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Summary

This website contacted 50 IPs in 4 countries across 15 domains to perform 150 HTTP transactions. The main domain is blakeman2025.com and was registered NaN years ago.

Submitted URL: https://www.blakeman2025.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No credential or payment collection mechanisms detected
Content aligns with a legitimate political campaign
Domain is older than 90 days, reducing suspicion
Domain age information unavailable

Details

Page Title

Bruce Blakeman for Nassau County Executive

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(88%)

Domain Information

The domain name 'www.blakeman2025.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 12 characters in 'blakeman2025' with three vowels and five consonants, along with four digits. Tokenizing the label suggests 3 words: blake, man, 2025. Expect four characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.blakeman2025.com/

Page Load Overview

22.52s
Total Load Time
150
HTTP Requests
15
Domains
5.6 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
Text Length:910 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network88% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
88%
news media journalism
79%
government public service
66%
blog personal website
50%
finance banking
49%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3157.240.253.1Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
334.49.229.81Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3151.101.130.217San Francisco, California, United States
AS54113FASTLY
33.83.59.86Ashburn, Virginia, United States
AS14618AMAZON-AES
33.221.75.61Ashburn, Virginia, United States
AS14618AMAZON-AES
334.149.206.255Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
3151.101.194.217San Francisco, California, United States
AS54113FASTLY
3216.239.32.36United States
AS15169GOOGLE
334.149.87.45Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
352.86.41.132Ashburn, Virginia, United States
AS14618AMAZON-AES
15050--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T111848DA06600B4394EA720DE7297BA0C60245401AD924B7EF5FCA5A83EE7DE513D377F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+mmk51mC8FFrDdiUMDo1sU78+Br0Qe+84Ci1y1R+YqL7AMya6R4W+FqRYhjBfn9G:+mmk51G9PMDog+BQQw4CFcEhR8FI

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:398557:RAFHAkwAkMyBAgICYCQUsCB0YpG/tQqcVq5BAMYkAQpUeKoIqSgilAxQEKJGBCa1BAQSAECEHIAGjhW4gCCpQgY0BZAGIGAR

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:000707070707ffff
Perceptual Hash:b60bc90d6d5b33c1
Difference Hash:69adcd6daded8e0e
Wavelet Hash:001707070707ffff
Color Hash:#1f934e

Other Hashes

Crop Resistant:69adcd6daded8e0e,72736d796d4e3191,8582f8f89c8cc4d2,4bed8d6d6dadedcd,4545554d55713171

Scan History

Scan history not available

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