Summary
Jenkins MATLAB Plugin cross-site request forgery vulnerability
Jenkins MATLAB Plugin determines whether a user-specified directory on the Jenkins controller is the location of a MATLAB installation by parsing an XML file in that directory.
MATLAB Plugin 2.11.0 and earlier does not perform permission checks in several HTTP endpoints implementing related form validation.
Additionally, these HTTP endpoints do not require POST requests, resulting in a cross-site request forgery (CSRF) vulnerability.
Additionally, the plugin does not configure its XML parser to prevent XML external entity (XXE) attacks. This allows attackers able to create files on the Jenkins controller file system to have Jenkins parse a crafted XML document that uses external entities for extraction of secrets from the Jenkins controller or server-side request forgery.
MATLAB Plugin 2.11.1 configures its XML parser to prevent XML external entity (XXE) attacks.
Additionally, POST requests and Item/Configure permission are required for the affected HTTP endpoints.
Impact
A victim's authenticated browser session is used to submit forged requests to an application that cannot distinguish them from legitimate ones. Typical impact: state-changing actions performed as the victim without their consent.
CVE-2023-49655 has a CVSS score of 7.1 (High). The vector is network-reachable, low privileges required, and no user interaction. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (2.11.1); upgrading removes the vulnerable code path.
Affected versions
Security releases
Kodem intelligence
Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.
Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.
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Frequently Asked Questions
- What is CVE-2023-49655? CVE-2023-49655 is a high-severity cross-site request forgery (CSRF) vulnerability in org.jenkins-ci.plugins:matlab (maven), affecting versions < 2.11.1. It is fixed in 2.11.1. A victim's authenticated browser session is used to submit forged requests to an application that cannot distinguish them from legitimate ones.
- How severe is CVE-2023-49655? CVE-2023-49655 has a CVSS score of 7.1 (High). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
- Which versions of org.jenkins-ci.plugins:matlab are affected by CVE-2023-49655? org.jenkins-ci.plugins:matlab (maven) versions < 2.11.1 is affected.
- Is there a fix for CVE-2023-49655? Yes. CVE-2023-49655 is fixed in 2.11.1. Upgrade to this version or later.
- Is CVE-2023-49655 exploitable, and should I be worried? Whether CVE-2023-49655 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
- What actually determines whether CVE-2023-49655 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
- How do I fix CVE-2023-49655? Upgrade
org.jenkins-ci.plugins:matlabto 2.11.1 or later.