CVE-2026-29872
8.2 · HIGHOverview
CVE-2026-29872 is a high-severity vulnerability affecting theunwindai awesome_llm_apps. It was published on March 30, 2026 and has a CVSS 3.1 base score of 8.2 (HIGH).
This vulnerability has a CVSS 3.1 base score of 8.2, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
A cross-session information disclosure vulnerability exists in the awesome-llm-apps project in commit e46690f99c3f08be80a9877fab52acacf7ab8251 (2026-01-19). The affected Streamlit-based GitHub MCP Agent stores user-supplied API tokens in process-wide environment variables using os.environ without proper session isolation. Because Streamlit serves multiple concurrent users from a single Python process, credentials provided by one user remain accessible to subsequent unauthenticated users. An attacker can exploit this issue to retrieve sensitive information such as GitHub Personal Access Tokens or LLM API keys, potentially leading to unauthorized access to private resources and financial abuse.
Remediation
Check the references section for vendor advisories and patches from theunwindai. Update awesome_llm_apps to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
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Frequently Asked Questions
What is CVE-2026-29872?
CVE-2026-29872 is a high-severity vulnerability affecting theunwindai awesome_llm_apps. It was published on March 30, 2026 and has a CVSS 3.1 base score of 8.2 (HIGH).
How severe is CVE-2026-29872?
This vulnerability has a CVSS 3.1 base score of 8.2, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2026-29872?
Check the references section for vendor advisories and patches from theunwindai. Update awesome_llm_apps to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2026-29872?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-29872 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
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