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CVE-2026-32690: Low Vulnerability in Apache Airflow

A low-severity vulnerability in Apache Airflow allows for secrets in JSON variables to be improperly redacted. Organizations should upgrade to version 3.2.0 immediately to mitigate risks associated with this issue.

LOWCVSS 3.7 · Published April 18, 2026

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CVE-2026-32690 is a low-severity vulnerability identified in Apache Airflow, which affects the handling of sensitive information stored in JSON dictionaries. The issue arises when secrets within variables are not properly redacted, allowing unauthorized users to retrieve unmasked sensitive data if they access these variables. The vulnerability has a CVSS score of 3.7, indicating a low level of risk. However, organizations using Apache Airflow should still treat this vulnerability seriously, as it can lead to potential data exposure.

Organizations that do not store sensitive variables in JSON format are not affected by this vulnerability. For those that do, it is crucial to upgrade to Apache Airflow version 3.2.0, where the issue has been addressed. The urgency for defenders is moderate, as they should schedule remediation to implement the necessary updates.

The vulnerability was published on April 18, 2026, and has been analyzed for its impact. Despite its low severity, the potential risk to organizations includes the exposure of sensitive information, which can lead to unauthorized access or misuse of data.

As of now, there are no known exploits associated with this vulnerability, making it imperative for organizations to address this in their patch management cycles proactively.

Vulnerability Details

The official description of CVE-2026-32690 details that secrets in variables saved as JSON dictionaries were not properly redacted. If these variables were retrieved by the user, the secrets stored as nested fields were not masked. This issue is classified under CWE-668, indicating that it involves improper restriction of operations within the bounds of a memory buffer.

The CVSS score assigned to this vulnerability is 3.7, which falls under low severity. This score is based on the following metrics: it has a network attack vector, high attack complexity, no privileges required for exploitation, and no user interaction. The confidentiality impact is rated as low, indicating that the vulnerability could lead to some exposure of sensitive data but not to a significant extent.

The affected product is Apache Airflow, specifically versions prior to 3.2.0. The vulnerability was published on April 18, 2026, and is classified under the CWE-668 category.

Technical Analysis

The root cause of this vulnerability lies in the failure to properly redact sensitive information stored within JSON dictionaries. When users retrieve these variables, they can potentially access unmasked sensitive data. The attack vector is network-based, meaning that an attacker could exploit this vulnerability remotely without needing physical access to the system.

The attack complexity is classified as high, indicating that it may require specific conditions or knowledge for successful exploitation. There are no privileges required for accessing the vulnerable functionality, and user interaction is not necessary, making it easier for attackers to exploit this vulnerability if they can access the relevant variables.

In terms of impact, the confidentiality level is low, meaning that while there is potential exposure of sensitive data, it is not likely to be extensive. There are no integrity or availability impacts associated with this vulnerability.

Risk & Impact Analysis

The real-world risk associated with CVE-2026-32690 primarily concerns organizations that utilize Apache Airflow to manage sensitive data. The potential for unmasked secrets in retrieved variables could lead to unauthorized access to sensitive information. Although the severity is classified as low, the implications can vary based on the context of use and the sensitivity of the information involved.

Organizations should assess their deployment scenarios to understand the potential blast radius of this vulnerability. If the exposed variables contain critical secrets, the risks could escalate significantly, warranting immediate attention. As this vulnerability is not in the KEV catalog, it emphasizes the need for organizations to maintain a proactive security posture and regularly review their systems for potential vulnerabilities.

Given the CVSS score of 3.7, organizations should schedule remediation as part of their priority patch cycle, ensuring that they upgrade to Apache Airflow version 3.2.0 to mitigate this issue.

Exploitation Status

Signal

Status

Known Exploit

No

Public PoC

No

Actively Exploited

No

Ransomware Use

No

Affected Versions

All versions of Apache Airflow prior to 3.2.0 are affected by this vulnerability. Organizations should ensure they upgrade to this version to mitigate the risks associated with unmasked secrets in JSON variables.

Mitigation & Remediation

To mitigate this vulnerability, organizations should upgrade to Apache Airflow version 3.2.0, where the fix has been implemented. If immediate upgrades are not feasible, organizations should consider alternative workarounds such as avoiding the storage of sensitive information in JSON format or implementing additional access controls to restrict variable retrieval.

For organizations needing assistance with security testing, they can explore our penetration testing services to identify similar weaknesses.

Detection Guidance

Organizations should monitor logs for indicators of unauthorized access to variables containing sensitive information. Behavioral anomalies in variable access patterns may also signal exploitation attempts. Additionally, network signatures that indicate unusual requests for variable retrieval should be analyzed.

AppSecure Threat Intelligence Insight

The long-term significance of CVE-2026-32690 is a reminder of the importance of proper handling of sensitive data in application development. As organizations increasingly rely on cloud-native applications and services like Apache Airflow, the risk of exposing sensitive data grows. This vulnerability represents a pattern where misconfigurations can lead to significant security incidents.

Security teams should take lessons from this incident to implement rigorous data handling policies and ensure that sensitive information is adequately protected. Regular audits and security assessments can help identify areas for improvement, particularly in managing variable data.

For further guidance on managing vulnerabilities and securing applications, organizations can review our vulnerability management program and explore best practices in our penetration testing methodology.

Additionally, organizations should consider how to harden their application security posture through strategies outlined in our API penetration testing guide to ensure robust security measures are in place.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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