Security Scan Report: dontmesswithtaxes.com

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Submitted: Completed: publiccompleted
This website contacted 24 IPs in 2 countries across 17 domains to perform 148 HTTP transactions. The main domain is dontmesswithtaxes.com and was registered 20 years ago.

Submitted URL: https://dontmesswithtaxes.com/taxable-wage-base-in-2027-will-be-192300-retirees-get-3-6-social-security-benefits-bump/

AI Security Verdict

Safe Website

Confidence: 93%

1
Risk Score

Established ~20-year-old tax blog publishing a news article on Social Security wage base and COLA figures. Self-branded, no credential or payment forms, and no malware, phishing or threat-intel signals.

Safety Factors (5)
Domain age ~20 years with established blog identity
Self-branding detected — title and Open Graph site name match the domain
Article/news content with byline-style structure and topical tax reporting
No credential or payment forms present anywhere on the page
Clean threat intelligence, hunting rule, IDS and JavaScript behavioral results
Domain age information unavailable

Details

Page Title

Taxable Social Security wage base in 2027 will be $192,300; retirees get 3.6% benefits bump - Don't Mess With Taxes

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'dontmesswithtaxes.com' is registered while skipping any subdomain. The core label 'dontmesswithtaxes' covers 17 characters with 5 vowels and twelve consonants. Breaking it apart gives 4 words: dont, mess, with, taxes. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dontmesswithtaxes.com/taxable-wage-base-in-2027-will-be-192300-retirees-get-3-6-social-security-benefits-bump/

Page Load Overview

13.14s
Total Load Time
4.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:79,502 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service86% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
86%
blog personal website
69%
news media journalism
48%
forum community discussion
44%
healthcare medical
42%

Detected Features

Search
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1050.6.108.72Ashburn, Virginia, United States
AS31898Oracle Corporation
6142.251.110.95Google · CDNUnited States
AS15169Google LLC
6142.250.154.97Google · CDNUnited States
AS15169Google LLC
6142.250.154.156Google · CDNUnited States
AS15169Google LLC
6142.251.127.84Google · CDNUnited States
AS15169Google LLC
6104.26.4.189Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6142.251.20.94Google · CDNUnited States
AS15169Google LLC
6216.239.32.36Google · CDNUnited States
AS15169Google LLC
6142.251.14.102Google · CDNUnited States
AS15169Google LLC
6142.251.127.156Google · CDNUnited States
AS15169Google LLC
14824--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FC5D91BF5E21A33D2AA86E0927B773C7B38C91E8FC10CB45843677E478ADE6164518D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:ymub73DeDcpTNvYN0tzOYj0rzMYX0/zzeu224+2248j7vY+9224NDcpTNsYs0EzC:yPjDVOM4slNdX2K

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2661888:gs8AmyJkjuMDkqAOgkrWZjw7JUSQYF5AYQEktEhAMooBQwkyCEwylBSIQAKCrlBEINAV6QAwFACOgzJHgTzHBwRJXAQgrIdp

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:0000dbfff7f3e1df
Perceptual Hash:eb15096694ebd625
Difference Hash:61cb2b31042f0b39
Wavelet Hash:000001fff7f3e1dd
Color Hash:#d2ba2d

Scan History

Scan history not available

Unable to load historical scan data