CVE-2026-22038 is a vulnerability classified under CWE-532 (Insertion of Sensitive Information into Log File) affecting Significant-Gravitas AutoGPT, a platform enabling continuous AI agents for automating complex workflows. In versions prior to autogpt-platform-beta-v0.6.46, the Stagehand integration components (StagehandObserveBlock, StagehandActBlock, and StagehandExtractBlock) improperly log sensitive data such as API keys and authentication secrets in plaintext using logger.info() statements. Specifically, the code calls api_key.get_secret_value() and outputs these secrets directly into logs, which can be accessed by unauthorized users with log access. This exposure risks confidentiality as attackers can retrieve credentials to escalate privileges or disrupt services. The CVSS 3.1 score of 8.1 reflects high severity, with network attack vector (AV:N), low attack complexity (AC:L), requiring privileges (PR:L), no user interaction (UI:N), unchanged scope (S:U), high confidentiality impact (C:H), no integrity impact (I:N), and high availability impact (A:H). The vulnerability has been addressed in autogpt-platform-beta-v0.6.46 by removing or masking sensitive information in logs. No known exploits have been reported in the wild, but the risk remains significant due to the nature of the leaked secrets and potential for misuse.

For European organizations, this vulnerability poses a serious risk to the confidentiality of API keys and authentication secrets used within AutoGPT deployments. Exposure of these secrets can lead to unauthorized access to AI agents, manipulation of automated workflows, and potential disruption of critical business processes. The high availability impact indicates that attackers could cause service outages or degrade AI-driven operations. Organizations in sectors such as finance, healthcare, manufacturing, and government that increasingly rely on AI automation are particularly vulnerable. Additionally, leaked credentials could be leveraged for lateral movement within networks or to access other integrated systems. The breach of sensitive information may also result in regulatory non-compliance under GDPR, leading to legal and financial penalties. Given the growing adoption of AI platforms in Europe, the threat could affect a broad range of enterprises and public sector entities.

European organizations should immediately upgrade all AutoGPT deployments to autogpt-platform-beta-v0.6.46 or later to apply the patch that removes sensitive data from logs. Conduct thorough audits of existing log files to identify and securely purge any logged secrets. Implement strict access controls and monitoring on log storage to prevent unauthorized access. Employ secrets management best practices, such as using environment variables or dedicated vault services, to avoid exposing credentials in application code or logs. Enable logging configurations that redact or mask sensitive information by default. Regularly review and update incident response plans to include procedures for credential leakage scenarios. Additionally, conduct security training for developers and operators to raise awareness about secure logging practices. Organizations should also monitor threat intelligence feeds for any emerging exploits related to this vulnerability.