Security Scan Report: www.classactionpulse.com

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Submitted: Completed: publiccompleted
This website contacted 20 IPs in 2 countries across 15 domains to perform 50 HTTP transactions. The main domain is classactionpulse.com and was registered 3 months ago.

Submitted URL: https://www.classactionpulse.com/settlements/amazon-prime-ftc-settlement

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Independent article about Amazon FTC refunds; self-branded, no credential/payment forms, no threat-intel hits. Eligibility form collects contact details for legal lead generation.

Risk Factors (2)
Recent domain (95 days old) with no established reputation
Eligibility form collects name, email, phone, state, and situation details for legal lead generation
Safety Factors (5)
No credential or payment form fields present
Clear disclaimers: not a law firm, not the settlement administrator, and no attorney-client relationship
References the official FTC settlement source
No Indicators of Compromise or malware-related findings
External scripts are recognizable analytics and advertising services
Domain age information unavailable

Details

Page Title

Amazon Prime FTC Settlement Refunds — Who Qualifies? | Class Action Pulse

Scan Type

public

Domain Name Analysis

Domain 'www.classactionpulse.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'classactionpulse' spans 16 characters holding 6 vowels versus 10 consonants. Splitting it apart reveals 3 words: class, action, pulse. Average segment length settles at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.classactionpulse.com/settlements/amazon-prime-ftc-settlement

Page Load Overview

1.53s
Total Load Time
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:9,045 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service49% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
49%
corporate business
37%
corporate
35%
e-commerce shopping
33%
cryptocurrency blockchain
33%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12207.207.209.209Cloudflare · CDNUnited States
AS13335Cloudflare, Inc.
2104.18.3.37Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.110.97Google · CDNUnited States
AS15169Google LLC
2150.171.28.10Azure · CLOUDUnited States
AS8075Microsoft Corporation
2143.204.181.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2142.251.154.119Google · CDNUnited States
AS15169Google LLC
2142.251.14.148Google · CDNUnited States
AS15169Google LLC
2216.239.32.36Google · CDNUnited States
AS15169Google LLC
2142.251.127.157Google · CDNUnited States
AS15169Google LLC
2142.250.154.94Google · CDNUnited States
AS15169Google LLC
5020--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BE63F85572D0237440AB46B2B16B6325B29B834FC367DA92F0AC82B51FD1CEE4773798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:xHU96xhwtDcFXhgs3vtu8jTTwh37mJ3Q2TRAVGRRYa8MH:m9cw1cfgajbQ2TjRJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:70277:8jC0IlIhAkoixrZMAZRlxhBQkB0AgJEiAAnAGzFmiANgbEACigEYB4JJgGEZWGRUGQgCv4b2AIRKaEVFQgCwRIwJgWAgi4yB

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:00ffc7c7ffe7c7cf
Perceptual Hash:b0475c4f3b333a4c
Difference Hash:8c009d8d160e1696
Wavelet Hash:00c8c7c7c7c3c3cf
Color Hash:#6ce09a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data