{"description":"Trending threats, MITRE ATT\u0026CK coverage, and detection metadata. Fed continuously.","favicon":"https://feed.craftedsignal.io/favicon-32x32.png","feed_url":"https://feed.craftedsignal.io/products/vibe-trading/feed.json","home_page_url":"https://feed.craftedsignal.io/","icon":"https://feed.craftedsignal.io/apple-touch-icon.png","items":[{"_cs_actors":[],"_cs_cpes":[],"_cs_cves":[],"_cs_exploited":false,"_cs_has_poc":false,"_cs_poc_references":[],"_cs_products":["Vibe-Trading"],"_cs_severities":["critical"],"_cs_tags":["llm-security","rce","ssrf","command-injection"],"_cs_type":"advisory","_cs_vendors":[],"content_html":"\u003cp\u003eVibe-Trading, a framework for LLM-based trading agents, contains several critical vulnerabilities within its auto-discovered tool registry. These flaws allow an unauthenticated attacker, interacting with the system's exposed API on port 8899, to trigger arbitrary OS command execution or exploit improper module loading logic. The platform provides tools such as 'BashTool' and 'BackgroundRunTool', which pass LLM-supplied commands directly to 'subprocess.run(shell=True)' without filtering, escaping, or access controls. Furthermore, the backtest runner unconditionally executes arbitrary Python code from files staged via the session, and the 'read_url' tool facilitates server-side request forgery (SSRF) by forwarding unsanitized URLs to the Jina Reader API. Because the container runs with root privileges and lacks authentication on its messaging endpoints, these primitives can be chained to compromise the host environment. The agent's propensity to process document-based instructions also enables prompt-injection-based RCE for users who do not initially possess malicious intent.\u003c/p\u003e\n\u003ch2 id=\"attack-chain\"\u003eAttack Chain\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003eAttacker sends a POST request to the unauthenticated /sessions endpoint to initialize a new conversation session.\u003c/li\u003e\n\u003cli\u003eAttacker sends an unauthenticated message to the session containing an LLM prompt that includes a malicious command (e.g., 'id; uname -a').\u003c/li\u003e\n\u003cli\u003eThe agent incorrectly interprets the prompt as a legitimate request for the 'BashTool' or 'BackgroundRunTool'.\u003c/li\u003e\n\u003cli\u003e'BashTool' or 'BackgroundRunTool' receives the malicious string and passes it directly to the system shell via 'subprocess.run(command, shell=True)'.\u003c/li\u003e\n\u003cli\u003eThe OS executes the injected commands with root privileges (uid=0) inside the container.\u003c/li\u003e\n\u003cli\u003eAttacker observes command output in the session event stream or through the background task status check.\u003c/li\u003e\n\u003cli\u003eAttacker uses 'WriteFileTool' to stage a malicious 'signal_engine.py' file containing arbitrary Python code.\u003c/li\u003e\n\u003cli\u003eAttacker invokes 'BacktestTool', causing the runner to load the module and execute the attacker's Python code unconditionally.\u003c/li\u003e\n\u003c/ol\u003e\n\u003ch2 id=\"impact\"\u003eImpact\u003c/h2\u003e\n\u003cp\u003eSuccessful exploitation allows unauthenticated remote attackers to achieve full system compromise (root shell) within the containerized environment. Given the nature of trading platforms, this could lead to theft of API credentials, manipulation of trading logic, or lateral movement into internal infrastructure. The lack of authentication and presence of SSRF capabilities further increase the risk, as the platform can be used as a pivot point for internal network scanning or external data exfiltration.\u003c/p\u003e\n\u003ch2 id=\"recommendation\"\u003eRecommendation\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eImplement strict authentication and authorization checks on all API endpoints, specifically for session creation and message processing, to prevent unauthenticated access.\u003c/li\u003e\n\u003cli\u003eReplace 'shell=True' calls in 'BashTool' and 'BackgroundRunTool' with argument lists (shell=False) and enforce a strict allowlist of permitted commands or parameters.\u003c/li\u003e\n\u003cli\u003ePatch the module loading logic in 'agent/backtest/runner.py' to validate the presence of the 'SignalEngine' class or use restricted execution environments before calling 'exec_module'.\u003c/li\u003e\n\u003cli\u003eImplement a rigorous URL validation and filtering mechanism (allowlist for domains, blocking of private IP ranges) in 'agent/src/tools/web_reader_tool.py' to mitigate SSRF.\u003c/li\u003e\n\u003cli\u003eDeploy runtime security monitoring to flag unexpected shell execution (e.g., 'sh', 'bash') initiated by Python processes.\u003c/li\u003e\n\u003c/ul\u003e\n","date_modified":"2026-10-02T22:49:42Z","date_published":"2026-10-02T22:49:42Z","id":"https://feed.craftedsignal.io/briefs/2026-10-vibe-trading-llm-tools/","summary":"Multiple unauthenticated RCE and SSRF primitives in Vibe-Trading's LLM-callable tool registry allow remote attackers to achieve root-level code execution and internal network scanning.","title":"Vibe-Trading LLM Tool Exploitation Leading to RCE and SSRF","url":"https://feed.craftedsignal.io/briefs/2026-10-vibe-trading-llm-tools/"}],"language":"en","title":"CraftedSignal Threat Feed - Vibe-Trading","version":"https://jsonfeed.org/version/1.1"}