CVE-2026-44934 Overview
CVE-2026-44934 is an information disclosure vulnerability in SUSE Rancher AI Agent versions 1.0 before 1.0.2. When operators configure the agent with DEBUG log level, the application writes API keys and Large Language Model (LLM) response text into log files. These log entries can contain sensitive data that attackers with local access to the host can read and reuse.
The issue is classified under CWE-215: Insertion of Sensitive Information Into Debugging Code. Exploitation requires local access and high privileges, but the leaked credentials can pivot to LLM backends and other systems that trust the exposed API keys.
Critical Impact
Local attackers who read Rancher AI Agent debug logs can harvest API keys and LLM response content, then reuse those credentials against upstream LLM providers or downstream services.
Affected Products
- SUSE Rancher AI Agent 1.0
- SUSE Rancher AI Agent versions prior to 1.0.2
- Deployments running with DEBUG log level enabled
Discovery Timeline
- 2026-07-06 - CVE-2026-44934 published to the National Vulnerability Database (NVD)
- 2026-07-06 - Last updated in NVD database
Technical Details for CVE-2026-44934
Vulnerability Analysis
The Rancher AI Agent brokers requests between Rancher users and one or more LLM backends. When the runtime log level is set to DEBUG, the agent emits verbose diagnostic output that includes the raw contents of outbound API requests and inbound model responses. Those payloads carry the API keys used to authenticate to the LLM provider along with the model output, which frequently contains sensitive prompt data.
Because log files typically persist on disk and are read by operational tooling, any account with read access to the log directory can extract secrets that were meant to stay in memory. The scope extends beyond confidentiality of the agent itself: harvested keys grant an attacker independent access to the LLM service outside the Rancher trust boundary.
Root Cause
The root cause is unsafe handling of sensitive fields in the debug logging path. The agent does not redact authentication headers, bearer tokens, or model response bodies before writing them to log sinks. This aligns with CWE-215, where debug instrumentation exposes secrets that production code paths otherwise protect.
Attack Vector
Exploitation is local. An attacker must already have shell access, container access, or log-forwarder access on a host running Rancher AI Agent 1.0 through 1.0.1 with DEBUG logging enabled. The attacker reads the log file, extracts API keys and LLM output, and then abuses those credentials against the LLM provider or replays sensitive content. No exploit code or public proof of concept has been published. See the GitHub Security Advisory GHSA-5r2r-h824-fr5v for vendor details.
Detection Methods for CVE-2026-44934
Indicators of Compromise
- Rancher AI Agent log files containing plaintext Authorization, api_key, or Bearer values.
- Log entries showing full LLM request or response bodies rather than redacted placeholders.
- Access to agent log directories by accounts outside of the expected operations group.
- Unexpected LLM provider usage or billing anomalies tied to keys used by the Rancher AI Agent.
Detection Strategies
- Grep or scan agent log files for common secret patterns such as sk-, Bearer , or JSON keys named api_key, apiKey, or authorization.
- Audit the running configuration of each Rancher AI Agent instance and flag any deployment where the log level is set to DEBUG or TRACE.
- Correlate log-file read events with process and user identity to detect access by non-administrative accounts.
Monitoring Recommendations
- Forward Rancher AI Agent logs to a centralized store with strict access control and enable alerts on secret-pattern matches.
- Monitor LLM provider audit trails for API key use from unexpected source IP addresses or user agents.
- Track file-integrity and read-access events on the agent log directory using host-based sensors.
How to Mitigate CVE-2026-44934
Immediate Actions Required
- Upgrade SUSE Rancher AI Agent to version 1.0.2 or later on all clusters.
- Rotate every API key that was configured in the Rancher AI Agent while DEBUG logging was active.
- Reduce the runtime log level from DEBUG to INFO or higher on affected deployments.
- Purge or restrict access to historical log files that may contain leaked credentials or model output.
Patch Information
SUSE addressed the issue in Rancher AI Agent 1.0.2. Refer to the GitHub Security Advisory GHSA-5r2r-h824-fr5v for the fixed version, patch commit references, and vendor guidance.
Workarounds
- Set the agent log level to INFO, WARN, or ERROR until the upgrade to 1.0.2 is completed.
- Restrict filesystem permissions on the agent log directory so only the service account and administrators can read log files.
- Ship logs to a remote SIEM and delete local copies to shrink the local-attacker exposure window.
# Configuration example: restrict log access and lower log level
chown root:rancher /var/log/rancher-ai-agent/
chmod 640 /var/log/rancher-ai-agent/*.log
# Set non-debug log level via environment variable before restart
export RANCHER_AI_AGENT_LOG_LEVEL=INFO
systemctl restart rancher-ai-agent
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
