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CVE-2023-34657 : Vulnerability Insights and Analysis

Learn about CVE-2023-34657, a stored cross-site scripting (XSS) vulnerability in Eyoucms v1.6.2 allowing attackers to execute malicious scripts via crafted payloads.

A stored cross-site scripting (XSS) vulnerability in Eyoucms v1.6.2 allows attackers to execute arbitrary web scripts or HTML via a crafted payload injected into the web_recordnum parameter.

Understanding CVE-2023-34657

This article provides insights into the CVE-2023-34657 vulnerability affecting Eyoucms v1.6.2.

What is CVE-2023-34657?

CVE-2023-34657 is a stored cross-site scripting (XSS) vulnerability in Eyoucms v1.6.2, enabling attackers to execute malicious web scripts or HTML by exploiting the web_recordnum parameter.

The Impact of CVE-2023-34657

The vulnerability can lead to unauthorized execution of scripts, potentially compromising user data and the security of the affected system.

Technical Details of CVE-2023-34657

Explore the technical aspects of the CVE-2023-34657 vulnerability in Eyoucms v1.6.2.

Vulnerability Description

The XSS vulnerability allows threat actors to insert malicious payloads into the web_recordnum parameter, leading to arbitrary script execution.

Affected Systems and Versions

All instances of Eyoucms v1.6.2 are susceptible to this security flaw, putting user data at risk.

Exploitation Mechanism

By injecting a specially crafted payload into the web_recordnum parameter, attackers can trigger the execution of unauthorized scripts.

Mitigation and Prevention

Discover the necessary steps to mitigate the risks associated with CVE-2023-34657.

Immediate Steps to Take

Users are advised to update Eyoucms to a secure version, sanitize input fields, and implement robust web security practices.

Long-Term Security Practices

Regular security audits, code reviews, and user input validation can enhance the overall security posture of web applications.

Patching and Updates

Stay informed about security patches released by the vendor and apply them promptly to protect systems from known vulnerabilities.

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