An issue was found in Apache Airflow versions 1.10.10 and below. A remote code/command injection vulnerability was discovered in one of the example DAGs shipped with Airflow which would allow any authenticated user to run arbitrary commands as the user running airflow worker/scheduler (depending on the executor in use). If you already have examples disabled by setting load_examples=False in the config then you are not vulnerable.
The severity level of this vulnerability is classified as high, with a CVSS score of 8.8, indicating a significant risk to organizations. The potential for exploitation is critical, and organizations should prioritize patching immediately to prevent unauthorized access.
Risk to organizations includes the ability for attackers to execute commands remotely, leading to severe impacts on confidentiality, integrity, and availability. The attack vector is through network access, and exploitation can occur with low complexity and minimal privileges, making it a critical concern for users of Apache Airflow.
Given the current status of known exploitation, it is essential for organizations utilizing affected versions of Airflow to take immediate action. The urgency for defenders is compounded by the presence of proof-of-concept exploits in the wild, further emphasizing the need for swift remediation.
Vulnerability Details
The vulnerability (CVE-2020-11978) results from improper handling of user inputs in example DAGs provided with Apache Airflow. Specifically, it allows authenticated users to inject commands that the system will execute, posing a serious security threat. This issue affects all versions of Apache Airflow prior to 1.10.11.
The CVSS v3.1 score of 8.8 indicates that this vulnerability is highly exploitable. The attack vector is network-based, requiring low levels of attack complexity and user privileges. As a result, the impacts on confidentiality, integrity, and availability are all rated as high.
Technical Analysis
The root cause of this vulnerability lies in the inclusion of example DAGs that do not properly validate user inputs. Attackers may leverage this oversight to execute arbitrary commands on the server. The attack vector is through the network, and the attack complexity is low, requiring only authenticated access to exploit the vulnerability.
Privileges required are low, as any authenticated user can initiate the attack without additional privileges. User interaction is not necessary for the exploitation. The impacts of this vulnerability are severe, with high potential effects on confidentiality, integrity, and availability.
Risk & Impact Analysis
The real-world deployment risk associated with this vulnerability is significant. Organizations that use Apache Airflow without the necessary precautions are at risk of unauthorized command execution. This could lead to full system compromise, data loss, or service disruption.
The potential blast radius is extensive, particularly for organizations with multiple users accessing the Airflow system. Given the ease of exploitation, organizations must prioritize this vulnerability in their patch cycles. With a CVSS score indicating a high severity, organizations should address this vulnerability immediately.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | Yes |
Public PoC | Yes |
Actively Exploited | Yes |
Ransomware Use | No |
Affected Versions
All versions of Apache Airflow prior to 1.10.11 are affected by this vulnerability. Organizations should verify their current version and apply necessary patches to mitigate risks associated with this vulnerability.
Mitigation & Remediation
To remediate this vulnerability, organizations should apply the latest updates as per vendor instructions. Ensure that you upgrade to Apache Airflow version 1.10.11 or later. If an immediate upgrade is not possible, disabling example DAGs in the configuration by setting load_examples=False will mitigate the risk.
Additionally, organizations should conduct a thorough review of their Airflow deployments and implement strict access controls. Monitoring and logging should be enabled to detect any unauthorized access attempts. Regular security assessments, including penetration testing, can help identify vulnerabilities and improve security posture.
Detection Guidance
Monitor logs for indicators of unauthorized command execution. Look for unusual patterns in user activity, particularly from authenticated users. Network signatures can be established to detect abnormal communication patterns that may indicate exploitation attempts.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2020-11978 highlights the importance of secure coding practices within frameworks like Apache Airflow. This vulnerability represents a trend where frameworks expose powerful functionalities without adequate safeguards.
Security teams must prioritize the assessment of third-party components and libraries, ensuring that they are kept updated. The use of automated tools for vulnerability scanning and continuous monitoring should be a part of the security strategy. For further reading on security practices, consider reviewing our guide on penetration testing methodology and its importance in identifying vulnerabilities.
Additionally, organizations can learn from incidents related to vulnerabilities like CVE-2020-11978 to enhance their defensive strategies. A comprehensive understanding of how vulnerabilities can be exploited will aid in developing more robust security programs.
For those managing cloud environments, our blog on cloud penetration testing provides insights into securing cloud-based applications effectively.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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