VAITP

In OpenStack Ironic Python Agent through 11.5.0, a malicious bootc container, when deployed using ironic-python-agent, may be able to extract the credentials used to download it.

Improper neutralization of argument delimiters in the install_packages() method in AWS Bedrock AgentCore Python SDK before 1.18.1 might allow a remote authenticated user to execute arbitrary commands within the Code Interpreter sandbox via crafted package name arguments. To mitigate this issue, users should upgrade to the patched version 1.18.1.

PraisonAI before 4.6.78 contains a remote code execution vulnerability in JobWorkflowExecutor._exec_inline_python() due to insufficient AST validation of workflow script steps. Attackers can create malicious YAML workflow files with import os statements followed by os.system() calls that bypass sandbox checks and execute arbitrary OS commands with process privileges.

FlaskBB is a Forum Software written in Python using the micro framework Flask. Prior to version 2.2.1, a Server-Side Request Forgery (SSRF) vulnerability in get_image_info() allows any authenticated user to force the server to send HTTP requests to arbitrary internal endpoints, including cloud metadata services. This is a blind SSRF with confirmed internal port scanning and internal API triggering capabilities. Version 2.2.1 patches the issue.

PraisonAI is a multi-agent teams system. Prior to version 4.6.40 of PraisonAI, corresponding to version 1.6.40 of praisonaiagents, `execute_code()` in `praisonaiagents/tools/python_tools.py` (v1.6.37, subprocess sandbox mode) can be fully bypassed using `print.__self__` to retrieve the real Python `builtins` module, from which `__import__` can be extracted via `vars()` and runtime string construction. This achieves arbitrary OS command execution on the host, completely defeating the sandbox. This is a novel bypass that survives all patches for CVE-2026-39888 (frame traversal), CVE-2026-34938 (str subclass), and CVE-2026-40158 (`type.__getattribute__` trampoline). PraisonAI version 4.6.40 and praisonaiagents version 1.6.40 contain an updated fix.

PraisonAI is a multi-agent teams system. Prior to version 4.6.40, PraisonAI's first-party A2A server example exposes an unauthenticated A2A JSON-RPC endpoint and registers a `calculate(expression)` tool implemented with Python `eval()`. The example also binds to `0.0.0.0`. A remote unauthenticated attacker can send `message/send` to `/a2a`; the request reaches `agent.chat()`, and a real LLM can invoke the registered `calculate` tool. In testing with `gemini/gemini-2.5-flash-lite`, this resulted in arbitrary Python execution in the server process, confirmed by creation of a marker file from an unauthenticated HTTP request. The issue affects deployments following the official A2A example or similar unauthenticated public A2A deployments with unsafe tools. The default unauthenticated A2A surface also exposes task history and task cancellation APIs, increasing confidentiality and integrity impact. Version 4.6.40 patches the issue.

PraisonAI Platform is the platform layer for the PraisonAI multi-agent teams system. Prior to version 0.1.4, the Platform server exposes resources under `/api/v1/workspaces/{workspace_id}/...` and protects them with a `require_workspace_member(workspace_id)` FastAPI dependency. The dependency only checks that the caller is a member of the workspace_id in the URL prefix. The route handlers then look up the inner resource (`agent_id`, `issue_id`, `project_id`, `label_id`, `comment_id`, `dependency_id`) by primary key alone. The resource's own `workspace_id` is never compared to the URL's `workspace_id`. A user can therefore put their own workspace in the URL prefix and any other workspace's resource ID in the path. The auth check passes, since they really are a member of the prefix workspace. The service then returns the cross-tenant resource for read, update, or delete. There is a second bug in the member-management routes (`add_member`, `update_member_role`, `remove_member`, `update_workspace`, `delete_workspace`). Each one inherits the default `min_role="member"` from `require_workspace_member`. Any basic member can therefore promote themselves to admin or owner, demote or remove other members, and delete the workspace. The role hierarchy exists in the schema but is not enforced. Registration is open at `/api/v1/auth/register` with no email verification. The default server bind is `0.0.0.0:8000` (`python -m praisonai_platform`). One curl from any unauthenticated network position is enough to bootstrap into the system. PraisonAI Platform version 0.1.4 patches the issue.

The AMMOS Instrument Toolkit (Formerly the Bespoke Links to Instruments for Surface and Space (BLISS)) is a Python-based software suite developed to handle Ground Data System (GDS), Electronic Ground Support Equipment (EGSE), commanding, telemetry uplink/downlink, and sequencing for instrument and CubeSat Missions. In versions prior to 2.6.1 and in version 3.1.0, the Binary Stream Capture (BSC) component exposes an unauthenticated HTTP API for dynamically creating packet capture "handlers." Because the code blindly trusts path‑related form fields, a remote client can bypass the configured log root and direct BSC to log to arbitrary filesystem paths (path traversal / directory escape), and append attacker‑controlled data to those files, using the privileges of the`ait-bsc` process. There are two ways for a remote attacker to trigger this. First, if the attacker has access to the network where `ait-bsc` is deployed (a reason for that could be that the ports are publicly accessible), the payloads can be directly sent to the server to trigger the arbitrary file append. This type of attack is demonstrated in `python_poc.py`. Second, even if the attacker does not have direct access to the network because the software is running in a local network, it is possible to exploit this if a bad actor in that network opens an attacker-controlled website (which might be a website created by an attacker, or a third-party website compromised by the attacker). The browser javascript can automatically send the requests necessary to exploit this into the local network. This is even possible if the server is only accessible on `localhost`. This type of attack is demonstrated by `attacker_tcp.py` and `test1.html` (first launch the attacker TCP server, then start a webserver to host `test1.html`, for example using `python3 -m http.server 7000`, and open `test1.html`).This issue affects BSC (Binary Stream Capture) and usage of the ait-bsc server. This impacts AIT-Core versions before 3.1.1, from 2.x before 2.6.1. Users are recommended to upgrade to version 3.1.1 or 2.6.1.

MCP-for-Stata is an MCP server for Stata to integrate Stata into an agent. Prior to version 1.17.3, the `log_file_name` parameter in the `stata_do` API and CLI is directly interpolated into a Stata command string without sanitization. The security guard (`GuardValidator`) only scans the do-file content but does not validate this parameter. An attacker can inject arbitrary Stata commands (including `shell`, `python`, `erase`, etc.) by crafting a malicious `log_file_name` containing quotes, newlines, or Stata command separators. Version 1.17.3 contains a patch for the issue.

Home Assistant Core before 2026.7.0 contains a path traversal vulnerability in the backup-restore function that allows attackers to write files to arbitrary absolute filesystem paths by supplying a crafted tar archive with a SYMTYPE entry containing a benign member name paired with an absolute linkname pointing outside the extraction directory. Because the official Docker image runs the Home Assistant process as root and the subsequent regular-file entry is written through the unvalidated symlink, attackers can achieve remote code execution by overwriting auto-imported Python paths such as site-packages/sitecustomize.py or custom component directories.