CVE-2017-15022
5.5 · MEDIUMOverview
CVE-2017-15022 is a medium-severity vulnerability affecting gnu binutils. It was published on October 5, 2017 and has a CVSS 3.0 base score of 5.5 (MEDIUM).
This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
dwarf2.c in the Binary File Descriptor (BFD) library (aka libbfd), as distributed in GNU Binutils 2.29, does not validate the DW_AT_name data type, which allows remote attackers to cause a denial of service (bfd_hash_hash NULL pointer dereference, or out-of-bounds access, and application crash) via a crafted ELF file, related to scan_unit_for_symbols and parse_comp_unit.
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-2017-15022?
CVE-2017-15022 is a medium-severity vulnerability affecting gnu binutils. It was published on October 5, 2017 and has a CVSS 3.0 base score of 5.5 (MEDIUM).
How severe is CVE-2017-15022?
This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2017-15022?
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-2017-15022?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-15022 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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