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Minder trusts client-provided mapping from repo name to upstream ID

Moderate severity GitHub Reviewed Published Feb 26, 2024 in stacklok/minder • Updated Aug 7, 2024

Package

gomod github.com/stacklok/minder (Go)

Affected versions

< 0.20240226.1425

Patched versions

0.20240226.1425

Description

Summary

When using a modified client or the grpc interface directly, the RegisterRepository call accepts both the repository owner / repo and the repo_id. Furthermore, these two are not checked for matching before registering webhooks and data in the database.

Details

It is possible for an attacker to register a repository with a invalid or differing upstream ID, which causes Minder to report the repository as registered, but not remediate any future changes which conflict with policy (because the webhooks for the repo do not match any known repository in the database). When attempting to register a repo with a different repo ID, the registered provider must have admin on the named repo, or a 404 error will result. Similarly, if the stored provider token does not have repo access, then the remediations will not apply successfully. Lastly, it appears that reconciliation actions do not execute against repos with this type of mismatch.

PoC

With an RPC like the following text proto:

context {
  ...
}
repository {
  owner: "Stacklok-Demo-Org"
  repo: "python-app"
  # repo_id is defaulted to 0
}

I was able to produce the following minder output:

+--------------------------------------+--------------------------------------+----------+-------------+-------------------+------------+
|                  ID                  |               PROJECT                | PROVIDER | UPSTREAM ID |       OWNER       |    NAME    |
+--------------------------------------+--------------------------------------+----------+-------------+-------------------+------------+
| da3acba4-ef66-4d9b-b41e-250869107fd5 | f9f4aef0-74af-4909-a0c3-0e8ac7fbc38d | github   |           0 | Stacklok-Demo-Org | python-app |
+--------------------------------------+--------------------------------------+----------+-------------+-------------------+------------+
| 7cf8f7b8-b19b-40dd-a96b-b88bb1ef5563 | f9f4aef0-74af-4909-a0c3-0e8ac7fbc38d | github   |   762029128 | evankanderson     | bad-python |
+--------------------------------------+--------------------------------------+----------+-------------+-------------------+------------+

$ gh api repos/Stacklok-Demo-Org/python-app | jq .id                  
762029128

I've registered bad-python with the ID of python-app, and python-app with an ID of 0.

Impact

This appears to primarily be a potential denial-of-service vulnerability.

References

@evankanderson evankanderson published to stacklok/minder Feb 26, 2024
Published by the National Vulnerability Database Feb 26, 2024
Published to the GitHub Advisory Database Feb 26, 2024
Reviewed Feb 26, 2024
Last updated Aug 7, 2024

Severity

Moderate

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 Low
User interaction Active
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity Low
Availability Low

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:L/UI:A/VC:N/VI:N/VA:N/SC:N/SI:L/SA:L

EPSS score

0.043%
(10th percentile)

Weaknesses

CVE ID

CVE-2024-27093

GHSA ID

GHSA-q6h8-4j2v-pjg4

Source code

Credits

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