CVE-2019-1010305
5.5 · MEDIUMlibmspack 0.9.1alpha is affected by: Buffer Overflow.
Overview
CVE-2019-1010305 is a medium-severity vulnerability. It was published on July 15, 2019 and has a CVSS 3.1 base score of 5.5 (MEDIUM).
This vulnerability has a CVSS 3.1 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
libmspack 0.9.1alpha is affected by: Buffer Overflow. The impact is: Information Disclosure. The component is: function chmd_read_headers() in libmspack(file libmspack/mspack/chmd.c). The attack vector is: the victim must open a specially crafted chm file. The fixed version is: after commit 2f084136cfe0d05e5bf5703f3e83c6d955234b4d.
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.
References
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Frequently asked questions
What is CVE-2019-1010305?
CVE-2019-1010305 is a medium-severity vulnerability. It was published on July 15, 2019 and has a CVSS 3.1 base score of 5.5 (MEDIUM).
How severe is CVE-2019-1010305?
This vulnerability has a CVSS 3.1 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-2019-1010305?
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-2019-1010305?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2019-1010305 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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