CVE-2023-37379
Published: 23 August 2023
Summary
CVE-2023-37379 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Apache Airflow. Its CVSS base score is 8.1 (High).
Operationally, ranked at the 40.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0016
Vulnerability details
Apache Airflow, in versions prior to 2.7.0, contains a security vulnerability that can be exploited by an authenticated user possessing Connection edit privileges. This vulnerability allows the user to access connection information and exploit the test connection feature by sending…
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many requests, leading to a denial of service (DoS) condition on the server. Furthermore, malicious actors can leverage this vulnerability to establish harmful connections with the server. Users of Apache Airflow are strongly advised to upgrade to version 2.7.0 or newer to mitigate the risk associated with this vulnerability. Additionally, administrators are encouraged to review and adjust user permissions to restrict access to sensitive functionalities, reducing the attack surface.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Audit record review and analysis can detect unauthorized exposure or access to sensitive information.
Penetration testing attempts to access or extract sensitive data, revealing exposure of sensitive information to unauthorized actors.
The integrated analysis team enables faster detection and containment of incidents involving unauthorized exposure of sensitive information, limiting attacker success in exploiting such weaknesses.
Internal/external role separation directly prevents external actors from obtaining sensitive internal host and network information via name resolution.
Monitors for resource exhaustion and denial-of-service patterns that indicate uncontrolled consumption.
Limiting concurrent sessions directly prevents uncontrolled resource consumption by capping the number of active sessions per user or account.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.