CVE-2022-38750
6.5 · MEDIUMOverview
CVE-2022-38750 is a medium-severity vulnerability affecting snakeyaml_project snakeyaml. It was published on September 5, 2022 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. Some level of privileges is required for exploitation.
Technical Description
Using snakeYAML to parse untrusted YAML files may be vulnerable to Denial of Service attacks (DOS). If the parser is running on user supplied input, an attacker may supply content that causes the parser to crash by stackoverflow.
Remediation
Check the references section for vendor advisories and patches from snakeyaml_project. Update snakeyaml 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 |
|---|---|---|---|
| snakeyaml_project | snakeyaml | >= 0, < 1.31 | Affected |
References
Frequently Asked Questions
What is CVE-2022-38750?
CVE-2022-38750 is a medium-severity vulnerability affecting snakeyaml_project snakeyaml. It was published on September 5, 2022 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
How severe is CVE-2022-38750?
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2022-38750?
Check the references section for vendor advisories and patches from snakeyaml_project. Update snakeyaml 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-2022-38750?
CyberStrike's AI-powered security agents can automatically detect CVE-2022-38750 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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