CVE-2025-52999
Overview
CVE-2025-52999 is a known-severity vulnerability. It was published on June 25, 2025.
Technical Description
jackson-core contains core low-level incremental ("streaming") parser and generator abstractions used by Jackson Data Processor. In versions prior to 2.15.0, if a user parses an input file and it has deeply nested data, Jackson could end up throwing a StackoverflowError if the depth is particularly large. jackson-core 2.15.0 contains a configurable limit for how deep Jackson will traverse in an input document, defaulting to an allowable depth of 1000. jackson-core will throw a StreamConstraintsException if the limit is reached. jackson-databind also benefits from this change because it uses jackson-core to parse JSON inputs. As a workaround, users should avoid parsing input files from untrusted sources.
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-2025-52999?
CVE-2025-52999 is a known-severity vulnerability. It was published on June 25, 2025.
How severe is CVE-2025-52999?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2025-52999?
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-2025-52999?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-52999 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.
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