Skip to content

GHSA-4qw4-jpp4-8gvp

Unbounded resource exhaustion in cmark-gfm autolink extension may lead to denial of service

Medium RubyGems
Severity
Medium
The publisher's own rating, not a CVSS score
Exploit chance (EPSS)
—
No score published
Known exploited
No
Not in CISA's catalog
Weakness
CWE-400 Uncontrolled Resource Consumption
Fix
0.23.6
Upgrade commonmarker to this version or later

Description

Impact

CommonMarker uses cmark-gfm for rendering Github Flavored Markdown. A polynomial time complexity issue in cmark-gfm's autolink extension may lead to unbounded resource exhaustion and subsequent denial of service.

Patches

This vulnerability has been patched in the following CommonMarker release:

  • v0.23.6

Workarounds

Disable use of the autolink extension.

References

https://github.com/gjtorikian/commonmarker/pull/190 https://github.com/github/cmark-gfm/security/advisories/GHSA-cgh3-p57x-9q7q https://en.wikipedia.org/wiki/Time_complexity

For more information

If you have any questions or comments about this advisory:

Acknowledgements

We would like to thank Legit Security for reporting this vulnerability.

Affected versions

RubyGems

PackageVulnerableFixed in
commonmarker
< 0.23.6
0.23.6

How to fix

Move to the fixed version or later with your package manager, update the lockfile, and run your tests. If the package only arrives through another dependency, upgrade that dependency first. If none of its releases pulls a fixed version yet, force the version with your package manager's override.

commonmarker RubyGems → 0.23.6

bundler
bundle update commonmarker # Gemfile: gem "commonmarker", ">= 0.23.6"

Weakness

CWE-400: Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource.

How to prevent it
  • Architecture and Design: Design throttling mechanisms into the system architecture. The best protection is to limit the amount of resources that an unauthorized user can cause to be expended. A strong authentication and access control model will help prevent such attacks from occurring in the first place. The login application should be protected against DoS attacks as much as possible. Limiting the database access, perhaps by caching result sets, can help minimize the resources expended. To further limit the potential for a DoS attack, consider tracking the rate of requests received from users and blocking requests that exceed a defined rate threshold.
  • Architecture and Design: Mitigation of resource exhaustion attacks requires that the target system either: recognizes the attack and denies that user further access for a given amount of time, or uniformly throttles all requests in order to make it more difficult to consume resources more quickly than they can again be freed. The first of these solutions is an issue in itself though, since it may allow attackers to prevent the use of the system by a particular valid user. If the attacker impersonates the valid user, they may be able to prevent the user from accessing the server in question. The second solution is simply difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply makes the attack require more resources on the part of the attacker.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • Implementation: Ensure that all failures in resource allocation place the system into a safe posture.

References

Timeline

  1. Published
  2. Last updated by the source
AdvisorySeverityWhy it's related
GHSA-7vh7-fw88-wj87
Several quadratic complexity bugs may lead to denial of service in Commonmarker
Medium Also affects commonmarker
GHSA-48wp-p9qv-4j64
Commonmarker vulnerable to to several quadratic complexity bugs that may lead to denial of service
Medium Also affects commonmarker
GHSA-636f-xm5j-pj9m
Several quadratic complexity bugs may lead to denial of service in Commonmarker
Medium Also affects commonmarker
GHSA-fmx4-26r3-wxpf
Integer overflow in cmark-gfm table parsing extension leads to heap memory corruption
Critical Also affects commonmarker
GHSA-cggf-277g-3q54
pypdf has possible large memory usage when parsing page tree
High Same weakness, CWE-400
GHSA-3g3m-2fjr-6pw4
Glob: AbortSignal cancellation bypass allows post-timeout filesystem traversal
Medium Same weakness, CWE-400
GHSA-42gh-23hr-vphw
pypdf has possible long runtimes when retrieving page labels
High Same weakness, CWE-400
GHSA-4vqv-7265-gm2w
pypdf has possible large memory usage for exceptions in strict mode
High Same weakness, CWE-400
Is this in your code?

MergeHarbor checks every repository's dependencies against this database, ranks what matters by exploitability and reachability, routes it to the owning team and opens the fix pull request.

Check your repos with MergeHarbor