CVE-2023-49655 — matlab
HIGHCVE-2023-49655 is a high-severity (CVSS 7.1) Cross-Site Request Forgery (CSRF) vulnerability in org.jenkins-ci.plugins:matlab. A fix is available for org.jenkins-ci.plugins:matlab — see the affected versions and patch details below.
Jenkins MATLAB Plugin cross-site request forgery vulnerability
EPSS Exploitation Probability
EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.
How urgent is this, really
CVE-2023-49655 plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.
Where this sits among everything scored
Of 377,636 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.
Real-World Exposure
org.jenkins-ci.plugins:matlabReal-time download stats are indexed for npm and PyPI packages. This vulnerability affects Maven packages — download data is not available via public APIs for these ecosystems.
Description
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.
Affected Packages
| Ecosystem | Package | Vulnerable range | Fix |
|---|---|---|---|
| ☕Maven | org.jenkins-ci.plugins:matlab | all versions | 2.11.1org.jenkins-ci.plugins:matlab:2.11.1 |
Detection & mitigation playbook
Open-source dependencyDetect
Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for org.jenkins-ci.plugins:matlab, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.
Fix
Update org.jenkins-ci.plugins:matlab to 2.11.1 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2023-49655 is resolved across your whole dependency graph.
Workarounds
If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.
How O3 protects you
O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like CVE-2023-49655 can be triaged on real exposure rather than presence alone.
Tailored to CVE-2023-49655. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.
Frequently Asked Questions
Is CVE-2023-49655 in your dependencies?
O3 Security finds CVE-2023-49655 across Maven dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.