Security Scan Report: www.disabilityscoop.com

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Submitted: Oct 31, 2025, 10:10:15 PMCompleted: Oct 31, 2025, 10:12:49 PMpubliccompleted
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Summary

This website contacted 70 IPs in 3 countries across 24 domains to perform 153 HTTP transactions. The main domain is disabilityscoop.com and was registered NaN years ago.

Submitted URL: https://www.disabilityscoop.com/2025/10/24/ssi-social-security-benefits-will-rise-next-year/31698/

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

The site appears legitimate with no significant security concerns.

Safety Factors
Established domain registered in 2008
Domain not flagged in Cisco Umbrella top‑1M rankings (unranked but long‑standing)
No brand impersonation or typosquatting detected
No hidden or disguised password fields
Domain age information unavailable

Details

Bot Protection Detected

This website is protected by captcha bot protection. Our scanner was challenged or blocked during access.

Page Title

SSI, Social Security Benefits Will Rise Next Year - Disability Scoop

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(52%)

Domain Information

The domain 'www.disabilityscoop.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Count 15 characters in 'disabilityscoop' holding six vowels versus 9 consonants. It segments into two words: disability, scoop. Median word length comes out to 7.5 characters. The linguistic tilt is English for 'disability'. Secondary signals appear in Chinese (Pinyin) and Italian. Net impression: English phrase.

Screenshot

Security scan screenshot of https://www.disabilityscoop.com/2025/10/24/ssi-social-security-benefits-will-rise-next-year/31698/

Page Load Overview

3.49s
Total Load Time
153
HTTP Requests
24
Domains
4.2 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:6,214 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network52% confidence
Type: spa
Method: ml+structural

All Detected Categories

social media network
52%
news/blog
50%
government public service
43%
healthcare medical
35%
corporate
35%

Detected Features

Login Form
Articles
Comments
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3813.35.58.35United States
AS16509AMAZON-02
25142.250.185.162United States
AS15169GOOGLE
19142.250.185.227United States
AS15169GOOGLE
1135.214.168.80Groningen, Groningen, Netherlands
AS15169GOOGLE
10142.250.186.100United States
AS15169GOOGLE
734.111.60.239Kansas City, Missouri, United States
AS396982GOOGLE-CLOUD-PLATFORM
5216.58.206.35United States
AS15169GOOGLE
4142.250.184.193United States
AS15169GOOGLE
3147.135.76.120Oakton, Virginia, United States
AS16276OVH SAS
3216.58.206.65United States
AS15169GOOGLE
15370--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1A3F87246B85477990FE2E1A174B708D753C203EB455FE1B2EC135CBBC9EAA842719C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rAW/EdxXvelzjmc36iUgro0dy0N4XTV0V:Roelzjmc3zNRdLNX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:100991:BF5VMQZEQJZQMQo9nCCAa+BgadZKqAgYAJArGmBGEXblJCAKHxDDAS2FQinBIYCLQUApggAmnoi443oIiIAIs2YQYghzgMfI

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:ffdfffcbc3c7c71f
Perceptual Hash:b8c087700fd68f79
Difference Hash:c49e36361b1b3c7a
Wavelet Hash:7cdfc3c38183870b
Color Hash:#ae87c5

Scan History

Scan history not available

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