Vulnerability Database

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Total vulnerabilities in the database

Integer overflow in cmark-gfm table parsing extension leads to heap memory corruption — commonmarker

Integer Overflow or Wraparound

Impact

CommonMarker uses cmark-gfm for rendering Github Flavored Markdown. An integer overflow in cmark-gfm's table row parsing may lead to heap memory corruption when parsing tables who's marker rows contain more than UINT16_MAX columns. The impact of this heap corruption ranges from Information Leak to Arbitrary Code Execution.

If affected versions of CommonMarker are used for rendering remote user controlled markdown, this vulnerability may lead to Remote Code Execution (RCE).

Patches

This vulnerability has been patched in the following CommonMarker release:

  • v0.23.4

Workarounds

The vulnerability exists in the table markdown extensions of cmark-gfm. Disabling any use of the table extension will prevent this vulnerability from being triggered.

References

  • https://github.com/github/cmark-gfm/security/advisories/GHSA-mc3g-88wq-6f4x

Acknowledgements

We would like to thank Felix Wilhelm of Google's Project Zero for reporting this vulnerability

For more information

If you have any questions or comments about this advisory:

  • Published: Mar 3, 2022
  • Updated: Apr 14, 2023
  • GHSA: GHSA-fmx4-26r3-wxpf
  • Severity: High
  • Exploit:
  • CISA KEV:

CVSS v3:

  • Severity: Unknown
  • Score:
  • AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CWEs:

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CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

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Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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