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Git credentials are exposed in atlantis logs

High
jamengual published GHSA-gppm-hq3p-h4rp Nov 8, 2024

Package

Atlantis

Affected versions

<0.30.0

Patched versions

0.30.0

Description

Summary

Short summary of the problem. Make the impact and severity as clear as possible. For example: An unsafe deserialization vulnerability allows any unauthenticated user to execute arbitrary code on the server.

Atlantis logs contains GitHub credentials (tokens ghs_...) when they are rotated. This enables an attacker able to read these logs to impersonate Atlantis application and to perform actions on GitHub.

When Atlantis is used to administer a GitHub organization, this enables getting administration privileges on the organization.

This was reported in #4060 and fixed in #4667 . The fix was included in Atlantis v0.30.0.

Details

Give all details on the vulnerability. Pointing to the incriminated source code is very helpful for the maintainer.

While auditing the Kubernetes/Argo CD/Atlantis deployment of some company, the following set-up was encountered:

  • Most employees have read-only access to Argo CD, enabling them to see the health of deployed applications.
  • Atlantis was deployed as an Argo CD application.
  • Atlantis was used to manage the configuration of a GitHub organization (such as team members), using Terraform's GitHub integration.

Atlantis logs on Argo CD contained lines such as:

{"level":"debug","ts":"2024-11-07T17:58:30.636Z","caller":"vcs/gh_app_creds_rotator.go:58","msg":"Refreshing git tokens for Github App","json":{}}
{"level":"debug","ts":"2024-11-07T17:58:30.637Z","caller":"vcs/gh_app_creds_rotator.go:64","msg":"token ghs_[REDACTED]","json":{}}
{"level":"debug","ts":"2024-11-07T17:58:30.637Z","caller":"vcs/git_cred_writer.go:36","msg":"git credentials file has expected contents, not modifying","json":{}}

This enabled employees with read-only access to Argo CD to get administration privileges on the GitHub organization, compromising all repositories. As some repositories were used for Infrastructure-as-Code deployment (with Atlantis), this enabled the security auditors to get cluster admin privileges on most Kubernetes clusters.

While the set-up "most employees have read-only access to Argo CD" can be seen as dangerous, this should not incur such security risk (cf. https://argo-cd.readthedocs.io/en/stable/operator-manual/security/). The main issue here was that the logs contained privileged GitHub tokens as they were obtained by Atlantis.

This issue was already reported (#4060) and fixed (#4667) but no security advisory was published on https://github.com/runatlantis/atlantis/security and no CVE was assigned (https://app.opencve.io/cve/?&vendor=runatlantis&product=atlantis only lists CVE-2022-24912, which is unrelated).

Could you please publish a security advisory?

PoC

Complete instructions, including specific configuration details, to reproduce the vulnerability.

cf. #4060 for more details.

Impact

What kind of vulnerability is it? Who is impacted?

  • This leaks sensitive GitHub tokens in the log files (CWE-532: Insertion of Sensitive Information into Log File).
  • This could enable anyone with log read access to compromiseGitHub organizations managed by Atlantis.
  • This impact at least users using Atlantis with Github application and integration.

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

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:N/VC:H/VI:N/VA:N/SC:H/SI:H/SA:H

CVE ID

CVE-2024-52009

Weaknesses

Credits