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CVE-2017-16357

7.8 · HIGH

In radare 2.0.1, a memory corruption vulnerability exists in store_versioninfo_gnu_verdef() and store_versioninfo_gnu_verneed() in libr/bin/format/elf/elf.c, as demonstrated by an invalid free.

Published Nov 1, 2017CWE-119EPSS 1.03%

Overview

CVE-2017-16357 is a high-severity vulnerability. It was published on November 1, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 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

In radare 2.0.1, a memory corruption vulnerability exists in store_versioninfo_gnu_verdef() and store_versioninfo_gnu_verneed() in libr/bin/format/elf/elf.c, as demonstrated by an invalid free. This error is due to improper sh_size validation when allocating memory.

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

GitHubgithub.com/radare/radare2/commit/0b973e28166636e0ff1fad80baa0385c9c09c53aGitHubgithub.com/radare/radare2/issues/8742GitHubgithub.com/radare/radare2/commit/0b973e28166636e0ff1fad80baa0385c9c09c53aGitHubgithub.com/radare/radare2/issues/8742

How CyberStrike helps

Frequently asked questions

What is CVE-2017-16357?

CVE-2017-16357 is a high-severity vulnerability. It was published on November 1, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2017-16357?

This vulnerability has a CVSS 3.0 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-2017-16357?

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-2017-16357?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-16357 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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