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GHSA-w6cq-9cf4-gqpg BIT-rabbitmq-2023-46118 CVE-2023-46118

RabbitMQ vulnerable to Denial of Service by publishing large messages over the HTTP API

Medium Hex
Severity
4.9 / 10
Medium · CVSS 3.1
Exploit chance (EPSS)
1.32%
Chance of exploitation in the next 30 days. Higher than 70.81% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-400 Uncontrolled Resource Consumption
Fix
3.12.7
Upgrade rabbit_common to this version or later

Description

Summary

Responsibly disclosed by @NSEcho.

HTTP API did not enforce an HTTP request body limit, making it vulnerable for DoS attacks with very large messages.

Details

An authenticated user with sufficient credentials can publish a very large messages over the HTTP API and cause target node to be terminated by an "out-of-memory killer"-like mechanism.

A PoC was provided to Team RabbitMQ privately.

Impact

Denial of Service

Affected versions

Hex

PackageVulnerableFixed in
rabbit_common
>= 3.12.0, < 3.12.7
3.12.7
rabbit_common
>= 3.11.0, < 3.11.24
3.11.24

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.

rabbit_common Hex → 3.12.7

mix
{:rabbit_common, "~> 3.12.7"} # then: mix deps.update rabbit_common

Severity breakdown

CVSS 3.1 4.9

CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:N/A:H

Attack vector
Network
Attack complexity
Low
Privileges required
High
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

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
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-pj33-75x5-32j4
RabbitMQ HTTP API's queue deletion endpoint does not verify that the user has a required permission
Medium Also affects rabbit_common
GHSA-v9gv-xp36-jgj8
RabbitMQ has predictable credential obfuscation seed value used in Shovel and Federation plugins
High Also affects rabbit_common
GHSA-9pf7-f47q-mwpq
Cross-site Scripting in RabbitMQ
Low Also affects rabbit_common
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
GHSA-62m5-6wh8-28x7
pypdf has possible long runtimes/large memory usage for encrypted PDF files
High Same weakness, CWE-400
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