CVE-2026-116086 in Konflux CI
Summary
by MITRE • 10/31/2026
A flaw was found in konflux-ci. An attacker with permission to trigger automated workflow runs can cause an information disclosure by providing crafted issue titles to workflow scripts. The affected script incorporates user-provided titles directly into data queries without adequate sanitization, allowing the attacker to inject malicious filter commands. As a result, sensitive information such as API credentials, deployment keys, and internal notes returned from repository queries may be exposed in workflow logs.
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Analysis
by VulDB Data Team • 10/31/2026
The vulnerability identified within konflux-ci represents a critical security flaw rooted in improper input validation and sanitization mechanisms during the execution of automated workflows. This issue specifically affects systems where users possess permissions to trigger these automated processes, creating an attack vector that does not require high-level administrative privileges but rather just sufficient access to initiate workflow runs. The core technical deficiency lies in how user-supplied data, particularly issue titles provided by the initiator of the workflow, is handled within the underlying scripts. Instead of treating this input as inert text or properly escaping it for safe inclusion in subsequent operations, the affected script incorporates these values directly into data queries without adequate sanitization. This lack of rigorous validation allows an attacker to inject malicious filter commands that alter the behavior of the query engine, effectively bypassing intended restrictions on what data can be retrieved and processed by the system.
From a technical perspective, this flaw is characteristic of injection vulnerabilities where untrusted input influences code execution or data retrieval logic. By crafting specific issue titles containing special characters or command sequences, an attacker can manipulate the internal filtering mechanisms used to query repository information. The consequence of this manipulation is that the workflow scripts may return sensitive artifacts associated with the queried repositories. These artifacts include API credentials, deployment keys, and confidential internal notes stored within the repository metadata or linked resources. Because these outputs are often logged for debugging or audit purposes in CI/CD environments, the exposed data becomes visible in workflow logs, which might be accessible to a broader set of users than intended or retained indefinitely without proper access controls on log storage systems.
The operational impact of this vulnerability is severe, as it leads directly to information disclosure that can compromise the integrity and confidentiality of the entire software supply chain managed by konflux-ci. The exposure of API credentials allows attackers to authenticate into external services, potentially leading further unauthorized actions such as deploying malicious code or exfiltrating source repositories. Deployment keys being exposed could enable an attacker to push changes to protected branches or access private container images, undermining version control security and integrity checks. Furthermore, the leakage of internal notes may reveal architectural details, secret configurations, or strategic project information that aids in planning more sophisticated attacks against the organization's infrastructure. This aligns with CWE-209, which describes the generation of error messages containing sensitive information, although here it extends to general data exposure via injection rather than just error logs.
In terms of industry-standard threat modeling and mitigation strategies, this vulnerability maps closely to MITRE ATT&CK technique T1537, specifically involving communication through application layer protocols where injected commands facilitate unauthorized access to backend systems. To mitigate this risk, developers must implement strict input validation and output encoding practices for all user-supplied data entering the workflow scripts. This includes using parameterized queries or safe API calls that treat inputs as literal values rather than executable code fragments. Additionally, implementing least-privilege principles ensures that even if an injection occurs, the scope of accessible resources is minimized. Logging mechanisms should also be reviewed to ensure they do not inadvertently expose sensitive payloads in plain text, and access controls on log storage must be tightened to prevent unauthorized viewing of workflow outputs. Regular security testing focused on input sanitization and query construction will help identify similar flaws before deployment into production environments.