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ASA-2024-010: cosmossdk.io/math: Mismatched bit-length validation in sdk.Int and sdk.Dec can lead to panic

High severity GitHub Reviewed Published Nov 20, 2024 in cosmos/cosmos-sdk • Updated Nov 22, 2024

Package

gomod cosmossdk.io/math (Go)

Affected versions

<= 1.3.0

Patched versions

1.4.0

Description

Name: ASA-2024-010: Mismatched bit-length in sdk.Int and sdk.Dec can lead to panic
Component: Cosmos SDK / Math
Criticality: High (Considerable Impact, and Possible Likelihood per ACMv1.2)
Affected versions: cosmossdk.io/math package versions <= math/v1.3.0
Affected users: Chain Builders + Maintainers, Validators

Impact

The bit-length in sdk.Int and sdk.Dec are not aligned, which may present a possible panic condition when interacting with Dec types in an Int context. This issue was resolved by aligning the max size between the data types in the cosmossdk.io/math package.

This issue impacts consumers of the cosmossdk.io/math, which includes popular modules including IBC-Go and tokenfactory (permissionless). If your chain interacts with APIs in the cosmossdk.io/math package, or utilizes a module that consumes this library, it is advised to update to the latest version at the time of the patch release by updating your project's go.mod dependency for cosmossdk.io/math.

The patch can be applied without a hard-fork, and with a version bump in a chain's go.mod file like the following:

go.mod

- cosmossdk.io/math v1.3.0
+ cosmossdk.io/math v1.4.0

Note

When on a lower version than cosmossdk.io/math v1.3.0, please do a coordinated upgrade before upgrading to >= 1.3.0

Patches

The new release of cosmossdk.io/math v1.4.0 resolves this issue. Chains that utilize the cosmossdk.io/math library or modules that utilize the cosmossdk.io/math library should update to avoid this condition.

Timeline

  • October 31, 2024, 6:55pm UTC: Issue reported to the Cosmos Bug Bounty program
  • October 31, 2024, 8:56pm UTC: Issue triaged by Amulet on-call, and distributed to Core team
  • Nov 15, 2024, 2:12am PST: Core team completes patch for issue
  • Nov 19, 2024, 8:00am PST / 16:00 GMT: Pre-notification delivered
  • Nov 20, 2024, 8:00am PST / 16:00 GMT: Patch made available

This issue was reported by LonelySloth to the Cosmos Bug Bounty Program on HackerOne on October 31, 2024. If you believe you have found a bug in the Interchain Stack or would like to contribute to the program by reporting a bug, please see https://hackerone.com/cosmos.

If you have questions about Interchain security efforts, please reach out to our official communication channel at [email protected]. For more information about the Interchain Foundation’s engagement with Amulet, and to sign up for security notification emails, please see https://github.com/interchainio/security.

References

@julienrbrt julienrbrt published to cosmos/cosmos-sdk Nov 20, 2024
Published to the GitHub Advisory Database Nov 20, 2024
Reviewed Nov 20, 2024
Last updated Nov 22, 2024

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Weaknesses

CVE ID

No known CVE

GHSA ID

GHSA-7225-m954-23v7

Source code

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