CVE-2025-11495
3.3 · LOWOverview
CVE-2025-11495 is a low-severity vulnerability affecting gnu binutils. It was published on October 8, 2025 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 was determined in GNU Binutils 2.45. The affected element is the function elf_x86_64_relocate_section of the file elf64-x86-64.c of the component Linker. This manipulation causes heap-based buffer overflow. The attack can only be executed locally. The exploit has been publicly disclosed and may be utilized. Patch name: 6b21c8b2ecfef5c95142cbc2c32f185cb1c26ab0. To fix this issue, it is recommended to deploy a patch.
Remediation
Check the references section for vendor advisories and patches from gnu. Update binutils 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
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References
Frequently Asked Questions
What is CVE-2025-11495?
CVE-2025-11495 is a low-severity vulnerability affecting gnu binutils. It was published on October 8, 2025 and has a CVSS 3.1 base score of 3.3 (LOW).
How severe is CVE-2025-11495?
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-2025-11495?
Check the references section for vendor advisories and patches from gnu. Update binutils 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-2025-11495?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-11495 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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