CVE-2022-25863
Published: 10 June 2022
Summary
CVE-2022-25863 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Gatsbyjs Gatsby. Its CVSS base score is 8.1 (High).
Operationally, ranked in the top 27.2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2022-6094
Vulnerability details
The package gatsby-plugin-mdx before 2.14.1, from 3.0.0 and before 3.15.2 are vulnerable to Deserialization of Untrusted Data when passing input through to the gray-matter package, due to its default configurations that are missing input sanitization. Exploiting this vulnerability is possible…
more
when passing input in both webpack (MDX files in src/pages or MDX file imported as a component in frontend / React code) and data mode (querying MDX nodes via GraphQL). Workaround: If an older version of gatsby-plugin-mdx must be used, input passed into the plugin should be sanitized ahead of processing.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.