CVE-2026-81320 in Apache Camel
Summary
by MITRE • 09/15/2026
A flaw was found in hawtio-operator. When a custom Route TLS secret is configured and the operator runs at debug log level 1 or higher, the entire Route object — including the TLS private key in PEM format — is serialized to JSON and written to the operator's standard output. Operator logs are typically forwarded to centralized logging systems and readable by anyone with pods/log access in the openshift-operators namespace. Debug level 1 is a low threshold commonly enabled during troubleshooting.
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Analysis
by VulDB Data Team • 09/15/2026
The vulnerability identified within the hawtio-operator represents a critical information disclosure flaw stemming from improper handling of sensitive cryptographic material during operational logging procedures. Specifically, when an administrator configures a custom Route TLS secret and sets the operator's log level to debug or higher, typically at verbosity level one or above, the system inadvertently serializes the entire Kubernetes Route object into JSON format for output purposes. This serialization process includes not only metadata but also sensitive data fields such as the TLS private key in PEM-encoded format. The root cause lies in the lack of sanitization or redaction mechanisms applied to high-sensitivity attributes before they are passed to the logging subsystem, resulting in the exposure of credentials that should remain strictly confidential within secure storage backends rather than being emitted into standard output streams.
The operational impact of this vulnerability is severe due to the widespread adoption of centralized logging architectures in modern container orchestration environments like OpenShift and Kubernetes. Operator logs generated by hawtio-operator are routinely forwarded to external log aggregation systems such as Elasticsearch, Splunk, or Loki for monitoring and troubleshooting purposes. Consequently, any user with permissions to view pods or access logs within the openshift-operators namespace can retrieve these debug outputs. Since verbosity level one is a common default setting during routine diagnostic activities, this exposure risk is not limited to extreme edge cases but applies broadly whenever administrators attempt to troubleshoot issues related to route configuration or operator behavior. The leakage of TLS private keys allows attackers with sufficient access privileges to decrypt traffic intended for the associated routes, perform man-in-the-middle attacks if certificate validation is bypassed, or potentially impersonate services relying on those certificates, thereby compromising confidentiality and integrity across the cluster's network layer.
From a classification perspective, this flaw aligns directly with CWE-209: Generation of Error Message Containing Sensitive Information, as well as CWE-537: Inclusion of Sensitive Information in an Exception or Log File. The attack vector is consistent with ATT&CK technique T1608.004: Steal Web Session Cookie via Browser Extension, although adapted for infrastructure-level secrets rather than user sessions, and more broadly fits under the broader category of Credential Access through log exfiltration. The vulnerability exploits the trust placed in logging mechanisms to safely handle operational data without considering that debug logs often traverse less secure channels compared to internal API calls or secret store accesses.
Mitigation strategies must address both immediate remediation and long-term architectural improvements. Immediately, administrators should ensure that hawtio-operator is configured with a log verbosity level of zero or higher than one in production environments where sensitive secrets are managed. If debug logging is required for troubleshooting, it should be enabled temporarily and disabled immediately after the diagnostic task is complete to minimize the window of exposure. Furthermore, organizations must review their centralized logging configurations to implement strict access controls on log ingestion pipelines, ensuring that only authorized security operations personnel can query raw operator logs containing potential secrets. Long-term fixes require upstream developers to integrate secret redaction logic into the serialization process for Route objects or any other resources known to contain sensitive payloads like private keys and passwords. Implementing dynamic masking of specific JSON fields during logging output generation would prevent such leaks even if debug levels are inadvertently left enabled, aligning with secure coding practices that assume logs may be accessible to a broader audience than intended by the application logic.