VAITP

All V1 collection-level endpoints in ChromaDB's Python project pass None for the tenant and database to the authorization layer, allowing attackers to bypass authorization controls by using the V1 endpoints.

The SimpleRBACAuthorizationProvider authorization provider in versions 0.5.0 or later of the ChromaDB Python project evaluates whether a user holds a given permission but never checks which tenant, database, or collection that permission applies to allowing users to perform cross tenant actions.

A lack of authorization validation in version 0.4.17 or later of the ChromaDB Python project allows any authenticated users to arbitrarily read, write, update, or delete data in any tenant's collection regardless of which tenant they belong to.

Vim is an open source, command line text editor. Prior to version 9.2.0597, Vim's Python omni-completion executes reconstructed function and class definitions from the current buffer with exec() as part of populating the completion dictionary. Python evaluates function default values, parameter annotations, and class base expressions at definition time, so a hostile buffer can execute attacker-controlled Python expressions during omni-completion. The existing g:pythoncomplete_allow_import mitigation (GHSA-52mc-rq6p-rc7c) does not cover this path, because the attacker-controlled code is not a harvested import/from statement. This issue has been patched in version 9.2.0597.

Vim is an open source, command line text editor. Prior to version 9.2.0561, the Python omni-completion script in python3complete.vim for Vim with the +python3 interpreter enabled (and the legacy pythoncomplete.vim for builds with the +python interpreter) executes the import and from statements found in the current buffer through Python's import machinery. Because the buffer's working directory is on sys.path, opening a hostile .py file with a sibling Python package and invoking omni-completion runs that package's top-level code as the editing user. This issue has been patched in version 9.2.0561.

aiograpi is an asynchronous Instagram API for Python. aiograpi versions before 0.9.10 accepted server-supplied signup challenge paths and used them to build request URLs before validating that the paths were relative Instagram API paths. If an attacker can influence a challenge response, for example through a local network, DNS, or proxy compromise, challenge handling requests could be sent outside the intended Instagram host with the client's existing session headers. Version 0.9.10 validates challenge paths before building URLs, solving captcha challenges, or submitting phone/SMS challenge forms.

Keras versions prior to 3.14.0 are vulnerable to a path traversal issue in the archive extraction utilities located in `keras/src/utils/file_utils.py`. The functions `filter_safe_tarinfos()` and `filter_safe_zipinfos()` validate archive member paths against the process current working directory (CWD) instead of the actual extraction destination. When the process runs with CWD set to `/`, which is common in Docker containers, CI/CD runners, and Jupyter environments, the validation boundary becomes the filesystem root, allowing traversal paths to bypass the security check. Additionally, the zip filter contains a bug that causes an `AttributeError` when a blocked entry is encountered, leading to incomplete extraction. Furthermore, Python 3.11 installations lack the `filter="data"` safety net, leaving them entirely reliant on the flawed CWD-based filter. Exploitation of this vulnerability can result in arbitrary file writes outside the intended extraction directory, enabling attackers to overwrite configuration files, inject malicious code, or corrupt machine learning datasets and pipelines.

In Splunk Enterprise versions below 10.2.4, 10.0.7, 9.4.12, and 9.3.13, Splunk Cloud Platform versions below 10.3.2512.12, 10.2.2510.14, 10.1.2507.22, and 9.3.2411.132, and Splunk Secure Gateway versions below 3.10.6, 3.9.20, and 3.8.67, a low-privileged user that does not hold the 'admin' or 'power' Splunk roles could perform a Remote Code Execution (RCE) through the Splunk Secure Gateway app.<br><br>The Remote Code Execution is possible because of unsafe deserialization of App Key Value Store (KV Store) data through the ‘jsonpickle’ Python library, which reconstructs arbitrary Python objects from specially crafted JavaScript Object Notation (JSON) without adequate validation.

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents. From version 0.0.90 to before version 1.2.0, a path traversal vulnerability exists in Pipecat's development runner (src/pipecat/runner/run.py). When the runner is started with the --folder flag, it exposes a GET /files/{filename:path} download endpoint. The filename path parameter is concatenated directly onto args.folder with no containment check. Starlette normalises literal ../ sequences in URLs, but %2F-encoded slashes bypass this normalisation: the path parameter is URL-decoded after routing, so ..%2F..%2Fetc%2Fpasswd resolves to a path two levels above args.folder. An attacker with network access to the runner can read any file the pipecat process has permission to access — including SSH private keys, credentials, and system files — with a single unauthenticated HTTP request. This issue has been patched in version 1.2.0.

Improper neutralization of triple-quote characters during Python code generation in AgentCore CLI before v0.14.2 might allow an authenticated remote threat actor to execute arbitrary code on AWS AgentCore Runtime under the imported agent's IAM execution role and on the local environment of another user in the same AWS account, via a crafted collaborationInstruction stored on a Bedrock Agent collaborator and later processed by that other user during agent import. To remediate this issue, users should upgrade to version 0.14.2.