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CVE-2019-1010180

7.8 · HIGH

GNU gdb All versions is affected by: Buffer Overflow - Out of bound memory access.

Published Jul 24, 2019CWE-125EPSS 2.63%

Overview

CVE-2019-1010180 is a high-severity vulnerability. It was published on July 24, 2019 and has a CVSS 3.1 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical description

GNU gdb All versions is affected by: Buffer Overflow - Out of bound memory access. The impact is: Deny of Service, Memory Disclosure, and Possible Code Execution. The component is: The main gdb module. The attack vector is: Open an ELF for debugging. The fixed version is: Not fixed yet.

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-2019-1010180?

CVE-2019-1010180 is a high-severity vulnerability. It was published on July 24, 2019 and has a CVSS 3.1 base score of 7.8 (HIGH).

How severe is CVE-2019-1010180?

This vulnerability has a CVSS 3.1 base score of 7.8, rated HIGH. 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-2019-1010180?

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-2019-1010180?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2019-1010180 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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