CVE-2025-15572
3.3 · LOWOverview
CVE-2025-15572 is a low-severity vulnerability affecting wasm3_project wasm3. It was published on February 10, 2026 and has a CVSS 3.1 base score of 3.3 (LOW).
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
Technical Description
A vulnerability has been found in wasm3 up to 0.5.0. The affected element is the function NewCodePage. The manipulation leads to memory leak. The attack must be carried out locally. The exploit has been disclosed to the public and may be used. Unfortunately, the project has no active maintainer at the moment.
Remediation
Check the references section for vendor advisories and patches from wasm3_project. Update wasm3 to the latest patched version. 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.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| wasm3_project | wasm3 | 0 | Affected |
Frequently Asked Questions
What is CVE-2025-15572?
CVE-2025-15572 is a low-severity vulnerability affecting wasm3_project wasm3. It was published on February 10, 2026 and has a CVSS 3.1 base score of 3.3 (LOW).
How severe is CVE-2025-15572?
This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2025-15572?
Check the references section for vendor advisories and patches from wasm3_project. Update wasm3 to the latest patched version. 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-2025-15572?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-15572 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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