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GHSA-rxpw-85vw-fx87 CVE-2024-23820 GO-2024-2477

OpenFGA denial of service

Medium Go
Severity
5.3 / 10
Medium · CVSS 3.1
Exploit chance (EPSS)
0.73%
Chance of exploitation in the next 30 days. Higher than 54.43% of scored vulnerabilities.
Known exploited
No
Not in CISA's catalog
Weakness
CWE-401 Missing Release of Memory after Effective Lifetime
CWE-770 Allocation of Resources Without Limits or Throttling
Fix
1.4.3
Upgrade github.com/openfga/openfga to this version or later

Description

Overview

OpenFGA is vulnerable to a DoS attack. In some scenarios that depend on the model and tuples used, a call to ListObjects may not release memory properly. So when a sufficiently high number of those calls are executed, the OpenFGA server can create an "out of memory" error and terminate.

Fix

Upgrade to v1.4.3. This upgrade is backwards compatible.

Affected versions

Go

PackageVulnerableFixed in
github.com/openfga/openfga
< 1.4.3
1.4.3

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.

github.com/openfga/openfga Go → 1.4.3

go
go get github.com/openfga/openfga@v1.4.3 && go mod tidy

Severity breakdown

CVSS 3.1 5.3

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

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

Weakness

CWE-401: Missing Release of Memory after Effective Lifetime

The product does not sufficiently track and release allocated memory after it has been used, making the memory unavailable for reallocation and reuse.

How to prevent it
  • Implementation: Choose a language or tool that provides automatic memory management, or makes manual memory management less error-prone. For example, glibc in Linux provides protection against free of invalid pointers. When using Xcode to target OS X or iOS, enable automatic reference counting (ARC) [REF-391]. To help correctly and consistently manage memory when programming in C++, consider using a smart pointer class such as std::auto_ptr (defined by ISO/IEC ISO/IEC 14882:2003), std::shared_ptr and std::unique_ptr (specified by an upcoming revision of the C++ standard, informally referred to as C++ 1x), or equivalent solutions such as Boost.
  • Architecture and Design: Use an abstraction library to abstract away risky APIs. Not a complete solution.
  • Architecture and Design, Build and Compilation: Consider using the Boehm-Demers-Weiser garbage collector (bdwgc), which can help avoid leaks.

CWE-770: Allocation of Resources Without Limits or Throttling

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated.

How to prevent it
  • Requirements: Clearly specify the minimum and maximum expectations for capabilities, and dictate which behaviors are acceptable when resource allocation reaches limits.
  • Architecture and Design: Limit the amount of resources that are accessible to unprivileged users. Set per-user limits for resources. Allow the system administrator to define these limits. Be careful to avoid CWE-410.
  • 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, and it will help the administrator to identify who is committing the abuse. 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.
  • Implementation: Assume all input is malicious. Use an "accept known good" input validation strategy, i.e., use a list of acceptable inputs that strictly conform to specifications. Reject any input that does not strictly conform to specifications, or transform it into something that does. When performing input validation, consider all potentially relevant properties, including length, type of input, the full range of acceptable values, missing or extra inputs, syntax, consistency across related fields, and conformance to business rules. As an example of business rule logic, "boat" may be syntactically valid because it only contains alphanumeric characters, but it is not valid if the input is only expected to contain colors such as "red" or "blue." Do not rely exclusively on looking for malicious or malformed inputs. This is likely to miss at least one undesirable input, especially if the code's environment changes. This can give attackers enough room to bypass the intended validation. However, denylists can be useful for detecting potential attacks or determining which inputs are so malformed that they should be rejected outright.
  • Architecture and Design: For any security checks that are performed on the client side, ensure that these checks are duplicated on the server side, in order to avoid CWE-602. Attackers can bypass the client-side checks by modifying values after the checks have been performed, or by changing the client to remove the client-side checks entirely. Then, these modified values would be submitted to the server.
  • 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, typically by using increasing time delays 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 can be difficult to effectively institute -- and even when properly done, it does not provide a full solution. It simply requires more resources on the part of the attacker.
  • Architecture and Design: Ensure that protocols have specific limits of scale placed on them.
  • Architecture and Design, Implementation: If the program must fail, ensure that it fails gracefully (fails closed). There may be a temptation to simply let the program fail poorly in cases such as low memory conditions, but an attacker may be able to assert control before the software has fully exited. Alternately, an uncontrolled failure could cause cascading problems with other downstream components; for example, the program could send a signal to a downstream process so the process immediately knows that a problem has occurred and has a better chance of recovery. Ensure that all failures in resource allocation place the system into a safe posture.
  • Operation, Architecture and Design: Use quotas or other resource-limiting settings provided by the operating system or environment. For example, when managing system resources in POSIX, setrlimit() can be used to set limits for certain types of resources, and getrlimit() can determine how many resources are available. However, these functions are not available on all operating systems. When the current levels get close to the maximum that is defined for the application (see CWE-770), then limit the allocation of further resources to privileged users; alternately, begin releasing resources for less-privileged users. While this mitigation may protect the system from attack, it will not necessarily stop attackers from adversely impacting other users. Ensure that the application performs the appropriate error checks and error handling in case resources become unavailable (CWE-703).

References

Timeline

  1. Published
  2. Last updated by the source
  3. Latest EPSS score
AdvisorySeverityWhy it's related
GHSA-g3pg-frfm-pr2m
OpenFGA: ListUsers returns a deliberately-excluded user when a `but not` exclusion under a type-bound wildcard is intersected (`and`) with another relation that also grants that user
Medium Also affects github.com/openfga/openfga
GHSA-hcxc-wf8j-23hv
OpenFGA: OIDC audience validation skipped when --authn-oidc-audience is unset
High Also affects github.com/openfga/openfga
GHSA-cf98-j28v-49v6
OpenFGA Improper Policy Enforcement
Medium Also affects github.com/openfga/openfga
GHSA-8396-jffm-qx4w
OpenFGA has cache-key delimiter injection in shared-iterator and v2 iterator that caches enables intra-store authorization-decision poisoning
Medium Also affects github.com/openfga/openfga
GHSA-57j5-qwp2-vqp6
OpenFGA has Improper Policy Enforcement
Medium Also affects github.com/openfga/openfga
GHSA-68m9-983m-f3v5
OpenFGA: Unauthenticated playground endpoint discloses preshared API key in HTML response
Medium Also affects github.com/openfga/openfga
GHSA-jwvj-g8pc-cx45
OpenFGA's BatchCheck within-request deduplication produces incorrect authorization decisions via list-value cache-key collision
High Also affects github.com/openfga/openfga
GHSA-h6c8-cww8-35hf
OpenFGA has an Authorization Bypass through cached keys
Critical Also affects github.com/openfga/openfga
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