CVE-2024-8602
Overview
CVE-2024-8602 is a known-severity vulnerability. It was published on October 14, 2024.
Technical Description
When the XML is read from the codes in the PDF and parsed using a DocumentBuilder, the default settings of the DocumentBuilder allow for an XXE (XML External Entity) attack. Further information on this can be found on the website of the Open Worldwide Application Security Project (OWASP). An attacker could theoretically leverage this by delivering a manipulated PDF file to the target, and depending on the environment, various actions can be executed. These actions include:
* Reading files from the operating system
* Crashing the thread handling the parsing or causing it to enter an infinite loop
* Executing HTTP requests
* Loading additional DTDs or XML files
* Under certain conditions, executing OS commands
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Frequently Asked Questions
What is CVE-2024-8602?
CVE-2024-8602 is a known-severity vulnerability. It was published on October 14, 2024.
How severe is CVE-2024-8602?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2024-8602?
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2024-8602?
CyberStrike's AI-powered security agents can automatically detect CVE-2024-8602 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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