CVE-2023-1729
6.5 · MEDIUMOverview
CVE-2023-1729 is a medium-severity vulnerability affecting libraw libraw. It was published on May 15, 2023 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
A flaw was found in LibRaw. A heap-buffer-overflow in raw2image_ex() caused by a maliciously crafted file may lead to an application crash.
Remediation
Check the references section for vendor advisories and patches from libraw. Update libraw 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
| Vendor | Product | Versions | Status |
|---|---|---|---|
| libraw | libraw | >= 0, < 0.21.2 | Affected |
References
Frequently Asked Questions
What is CVE-2023-1729?
CVE-2023-1729 is a medium-severity vulnerability affecting libraw libraw. It was published on May 15, 2023 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
How severe is CVE-2023-1729?
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2023-1729?
Check the references section for vendor advisories and patches from libraw. Update libraw 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-2023-1729?
CyberStrike's AI-powered security agents can automatically detect CVE-2023-1729 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
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