CVE-2014-4577 Scanner
CVE-2014-4577 Scanner - Local File Inclusion vulnerability in WP AmASIN – The Amazon Affiliate Shop
Short Info
Level
Medium
Single Scan
Single Scan
Can be used by
Asset Owner
Estimated Time
10 seconds
Time Interval
16 days 17 hours
Scan only one
Domain, IPv4
Toolbox
-
The WP AmASIN – The Amazon Affiliate Shop is a plugin developed for WordPress users who want to integrate Amazon affiliate products into their websites. Used by bloggers, online marketers, and small business owners, the plugin simplifies embedding Amazon product links. It provides easy customization options and focuses on increasing user engagement and potential earnings. By connecting to Amazon's extensive product database, the plugin ensures that website visitors have access to relevant product information. The tool is mainly employed in e-commerce and affiliate marketing scenarios to boost monetization of sites. Overall, it's a vital asset for leveraging Amazon Affiliate programs within WordPress platforms.
Local File Inclusion (LFI) is a vulnerability that allows attackers to access files on a server by including them in executed scripts. This security flaw can lead to unauthorized information disclosure, such as allowing attackers to read sensitive files from the server. The specific issue with the WP AmASIN plugin involves the potential reading of arbitrary files via an exploit in the affected versions. Attackers exploit this vulnerability by manipulating file paths and parameters within web requests. When successfully executed, LFI can compromise system integrity and breach privacy protections.
The vulnerability in WP AmASIN involves the reviews.php endpoint that mistakenly permits absolute path traversal. Attackers can manipulate the 'url' parameter to include specific system files from the server, such as the '/etc/passwd' file. The presence of inadequate validation on the file path allows for this exploitation. As a vital technical aspect, the vulnerability arises due to unchecked input fields which do not filter or sanitize user inputs effectively. This flaw can be identified by making HTTP requests designed to fetch restricted files. The technicality rests in the improper handling of user inputs at certain web application endpoints.
Exploiting this vulnerability could allow attackers to steal sensitive configuration files and critical server information. Potentially, confidential data such as system credentials stored within these files could be exposed. This could lead to further compromises, including unauthorized system access, privilege escalation, and even complete system takeover. The ramifications could extend to operational disruptions for website owners or compromising customer data, leading to financial and reputational damage. Consequently, addressing such threats is paramount for maintaining robust security postures.
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