Improper Neutralization of Special Elements used in an OS Command (OS Command Injection) vulnerability in livebook-dev livebook allows command injection into generated deployment setup commands.
LivebookWeb.Hub.Teams.DeploymentGroupAgentComponent.docker_instructions/2 and LivebookWeb.Hub.Teams.DeploymentGroupAgentComponent.fly_instructions/4 in lib/livebook_web/live/hub/teams/deployment_group_agent_component.ex interpolate deployment group environment variable values into the generated Docker and Fly.io setup commands without shell escaping. The values originate from the deployment group configuration and reach the sinks through Livebook.Hubs.Dockerfile.online_docker_info/3.
Both sinks place the value inside a double-quoted shell word, so a value containing a command substitution such as $(...) or backticks is evaluated by the shell without any need to break out of the quoting, and a literal double quote terminates the quoted word and allows arbitrary further tokens. The generated command is displayed in the Livebook web interface with a copy button, so a user who copies it and runs it without reviewing it first executes the injected commands on their own machine, under their own account.
An attacker requires privileges sufficient to set deployment group environment variables, while the resulting code execution occurs on the machine of whoever runs the generated command. The Kubernetes instructions are not affected, because they render the same values into a YAML manifest with escaping rather than into a shell command.
This issue affects livebook: from 0.13.0 before 0.18.7 and from 0.19.0 before 0.19.9.
Incorrect authorization in the aggregation pipeline tool in Amazon AWS Labs DocumentDB MCP Server before 1.0.12 might allow an authenticated MCP client to perform inappropriate write operations on the connected database via write-capable aggregation pipeline stages that bypass the read-only mode enforcement logic.
To remediate this issue, users should upgrade to version 1.0.12 or later.
Improper limitation of a pathname to a restricted directory in the get_resource tool in Amazon awslabs.aws-transform-mcp-server 0.1.0 through 0.1.4 might allow a context-dependent actor to write arbitrary files outside the intended working directory via the savePath parameter.
To remediate this issue, users should upgrade to version 0.1.5 or later.
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 an authenticated attacker to execute arbitrary code due to a cryptographic weakness in the custom component validation mechanism. When the optional hardening mode that restricts execution to trusted component templates is enabled, the application validates component code using a truncated SHA‑256 hash. Because the hash comparison relies on only a portion of the digest, an attacker can craft malicious component code that collides with a trusted template hash and bypasses validation. Successful exploitation allows the attacker to introduce and execute unauthorized Python code within the Langflow process, defeating the intended security control and potentially leading to full compromise of the affected instance.
IBM Langflow OSS 1.0.0 through 1.10.3 contain an authorization bypass vulnerability in the MemoryComponent that allows authenticated users to access chat history of other users via session_id collision. The MemoryComponent.retrieve_messages and store_message methods filter on session_id without validating flow_id or user_id ownership, enabling cross-user information disclosure through multiple authenticated API endpoints including /api/v1/run/*, /api/v1/responses, and /api/v2/workflow/*. This vulnerability only affects multi-user deployments with LANGFLOW_AUTO_LOGIN=False.
IBM Langflow OSS 1.0.0 through 1.10.3 could allow a remote attacker to inject arbitrary code on the system, due to the improper control of user input code.
IBM Langflow OSS 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, and 1.0.0 through 1.10.3 use Python's non-cryptographic random module for generating Fernet encryption keys from user secrets under 32 characters. The deterministic Mersenne Twister PRNG produces identical keys for identical seeds, allowing attackers to reproduce encryption keys and decrypt stored API keys and authentication tokens.
IBM Langflow OSS 1.0.0 through 1.10.3 does not properly validate the username field, allowing attackers to inject path traversal sequences and bypass containment checks. This enables multiple severe impacts, including arbitrary directory deletion, cross-tenant data destruction, and JWT signing key deletion leading to session invalidation.