Security Scan Report: retirewelldallas.com

Site favicon
Submitted: Completed: publiccompleted
This website contacted 19 IPs in 4 countries across 17 domains to perform 97 HTTP transactions. The main domain is retirewelldallas.com and was registered 9 years ago.

Submitted URL: https://retirewelldallas.com/social-security-tax-limit-rises-for-2027-who-will-pay-more/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established Dallas retirement-advisory blog (9-year-old domain) publishing an article on the 2027 Social Security wage base. Self-branded, no credential or payment forms, no Indicators of Compromise, no malware. Only a generic .to DNS IDS noise alert.

Safety Factors (5)
Nine-year-old domain with standard hosting
Site displays only its own brand; no impersonation of another entity
No credential, password or payment fields anywhere on the page
No Indicators of Compromise, no JavaScript malware, no obfuscated or exfiltrating scripts
Form is a same-origin consultation request, not credential collection
Domain age information unavailable

Details

Page Title

Social Security Tax Limit Rises in 2027: Who Pays More?

Scan Type

public

Domain Name Analysis

Within the commercial generic top-level domain (.com), 'retirewelldallas.com' is registered and has no subdomain. Its registrable label 'retirewelldallas' stretches across 16 characters with six vowels and ten consonants. It segments into 3 words: retire, well, dallas. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://retirewelldallas.com/social-security-tax-limit-rises-for-2027-who-will-pay-more/

Page Load Overview

2.85s
Total Load Time
1.7 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:13,723 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service74% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
74%
adult content
66%
healthcare medical
54%
blog personal website
54%
education learning
52%

Detected Features

Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7132.148.183.31United States
AS398101GoDaddy.com, LLC
5104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
5142.251.110.95Google · CDNUnited States
AS15169Google LLC
5172.64.146.81Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
523.207.210.148Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.251.14.94Google · CDNUnited States
AS15169Google LLC
5104.18.41.175Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
523.207.210.143Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
5142.251.20.97Google · CDNUnited States
AS15169Google LLC
5162.159.128.61Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
9719--

Detected Technologies16

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FE044C7237EC15774A4F2186A12FF30CA6B96017C6018991FBFE86984F68ED52473A1F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:QjLJd15FNq+ytM32AdBoNbZ1reHIC8dSWWos6615Pi7S:Qj31jNdBoNbzGXd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:182069:EEIZAoDIcijgAQ0UREAA4gKQVislAQJggBcEpLRBFMsEMw5JAZKgFJhchA6YkygB4pA0AKgJQ6GAMARjkeUYIAcaYYiQUNQF

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:00000000ffffffff
Perceptual Hash:be45bdb5251d0507
Difference Hash:2629f0314d2a3f3f
Wavelet Hash:00000000ffffffff
Color Hash:#611f93

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data