CVE-2026-22038 is a vulnerability classified under CWE-532, which concerns the insertion of sensitive information into log files. The affected product is AutoGPT by Significant-Gravitas, a platform enabling continuous AI agents to automate workflows. Prior to version autogpt-platform-beta-v0.6.46, the Stagehand integration components (StagehandObserveBlock, StagehandActBlock, StagehandExtractBlock) explicitly call api_key.get_secret_value() and log these secrets using logger.info() statements. This results in API keys and authentication secrets being stored in plaintext within log files, which can be accessed by unauthorized users if log files are improperly secured. The vulnerability has a CVSS 3.1 score of 8.1, indicating high severity, with an attack vector of network (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 exposure of secrets compromises confidentiality and can lead to denial of service if attackers leverage the leaked credentials to disrupt services. Although no known exploits are reported in the wild, the vulnerability presents a significant risk due to the sensitive nature of the logged data and ease of exploitation by insiders or attackers with network access and low privileges. The issue was addressed in autogpt-platform-beta-v0.6.46 by removing or securing the logging of secrets.

For European organizations, this vulnerability poses a substantial risk to confidentiality and availability. The leakage of API keys and authentication secrets in logs can enable attackers to gain unauthorized access to critical systems, escalate privileges, or disrupt AI-driven automated workflows. Given the increasing reliance on AI platforms like AutoGPT in sectors such as finance, manufacturing, and public services across Europe, exploitation could lead to data breaches, operational downtime, and reputational damage. The availability impact is also significant, as attackers could use leaked credentials to cause denial of service or manipulate AI agents. Organizations with insufficient log management controls or those running vulnerable AutoGPT versions are particularly at risk. The vulnerability's network-based attack vector and lack of required user interaction increase the likelihood of exploitation in multi-tenant or cloud environments common in European enterprises.

European organizations should immediately upgrade AutoGPT to version autogpt-platform-beta-v0.6.46 or later to apply the official patch that removes sensitive data from logs. Until patching is complete, restrict access to log files using strict file permissions and monitor logs for any exposure of API keys or secrets. Implement centralized log management with encryption and access controls to prevent unauthorized viewing. Conduct audits to identify any leaked secrets and rotate all potentially exposed API keys and authentication credentials. Employ network segmentation and least privilege principles to limit the impact of compromised credentials. Additionally, review and harden the configuration of AI automation workflows to detect anomalous behavior that could indicate exploitation. Educate developers and operators about secure logging practices to avoid similar issues in the future.