CVE-2026-30960
Overview
CVE-2026-30960 is a known-severity vulnerability. It was published on March 10, 2026.
Technical Description
rssn is a scientific computing library for Rust, combining a high-performance symbolic computation engine with numerical methods support and physics simulations functionalities. The vulnerability exists in the JIT (Just-In-Time) compilation engine, which is fully exposed via the CFFI (Foreign Function Interface). Due to Improper Input Validation and External Control of Code Generation, an attacker can supply malicious parameters or instruction sequences through the CFFI layer. Since the library often operates with elevated privileges or within high-performance computing contexts, this allows for Arbitrary Code Execution (ACE) at the privilege level of the host process.
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-2026-30960?
CVE-2026-30960 is a known-severity vulnerability. It was published on March 10, 2026.
How severe is CVE-2026-30960?
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-2026-30960?
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-2026-30960?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-30960 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.