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IBM Langflow OSS 1.0.0 through 1.10.3 could allow an authenticated attacker to execute unintended code during Agentic Assistant validation due to improper handling of LLM‑generated components. The application executes model‑generated Python code in the backend during validation prior to user approval, which may allow an attacker to trigger side effects such as outbound network access, file system interaction, or data exfiltration with the privileges of the Langflow backend process.
IBM Langflow OSS 1.0.0 through 1.10.3 could allow a remote authenticated attacker to execute arbitrary code due to improper validation of Python code during AST-based security scanning.
IBM Langflow OSS 1.0.0 through 1.10.3, and 1.0.0 through 1.10.3 contains a Server-Side Request Forgery (SSRF) vulnerability in the validate_model_provider_key() function for the Ollama provider. The function accepts a user-supplied OLLAMA_BASE_URL parameter and passes it directly to requests.get() without validation, scheme/host allowlisting, or filtering of private IP ranges (loopback, RFC1918, link-local addresses).
A missing permission check in Jenkins SCM-Manager Plugin 1.11.1 and earlier allows attackers with Overall/Read permission to connect to an attacker-specified URL using attacker-specified credentials IDs obtained through another method, capturing credentials stored in Jenkins.