A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py`. The vulnerability arises from the use of `yaml.load(..., Loader=yaml.Loader)` to deserialize `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. This method allows for the instantiation of arbitrary Python objects, enabling an attacker with the ability to modify these YAML files to execute OS commands on the worker pod. This vulnerability can be exploited before the configuration is validated, potentially leading to cluster takeover, data poisoning, and supply-chain sabotage.

Affected: PyPI: feast

A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py`. The vulnerability arises from the use of `yaml.load(..., Loader=yaml.Loader)` to deserialize `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. This method allows for the instantiation of arbitrary Python objects, enabling an attacker with the ability to modify these YAML files to execute OS commands on the worker pod. This vulnerability can be exploited before the configuration is validated, potentially leading to cluster takeover, data poisoning, and supply-chain sabotage.

Affected: PyPI: feast

A high-severity remote code execution vulnerability exists in feast-dev/feast version 0.53.0, specifically in the Kubernetes materializer job located at `feast/sdk/python/feast/infra/compute_engines/kubernetes/main.py`. The vulnerability arises from the use of `yaml.load(..., Loader=yaml.Loader)` to deserialize `/var/feast/feature_store.yaml` and `/var/feast/materialization_config.yaml`. This method allows for the instantiation of arbitrary Python objects, enabling an attacker with the ability to modify these YAML files to execute OS commands on the worker pod. This vulnerability can be exploited before the configuration is validated, potentially leading to cluster takeover, data poisoning, and supply-chain sabotage.

vllm: Server Side request forgery (SSRF) in MediaConnector feast: Feast: Remote Code Execution via insecure YAML deserialization openshift-ai: Trusty AI Grants All Authenticated users to list pods in any namespace nltk: Zip Slip Vulnerability in nltk Leading to Code Execution golang: net/url: Memory exhaustion in query parameter parsing in net/url golang: archive/zip: Excessive CPU consumption when building archive index in archive/zip crypto/x509: golang: Denial of Service due to excessive resource consumption via crafted certificate urllib3: urllib3: Unbounded decompression chain leads to resource exhaustion urllib3: urllib3 Streaming API improperly handles highly compressed data cbor2: cbor2: Information Disclosure via shared memory in CBORDecoder reuse aiohttp: AIOHTTP's HTTP Parser auto_decompress feature is vulnerable to zip bomb aiohttp: aiohttp: Denial of Service via specially crafted POST request aiohttp: aiohttp: Denial of Service via memory exhaustion from crafted POST request python-markdown: denial of service via malformed HTML-like sequences nltk: NLTK: Arbitrary file read via improper path validation in `filestring()` function nltk: NLTK: Arbitrary file read via path traversal vulnerability io.vertx/vertx-core: static handler component cache can be manipulated to deny the access to static files google-cloud-aiplatform: google-cloud-aiplatform: Arbitrary code execution via Stored Cross-Site Scripting (XSS) tensorflow: TensorFlow: Local privilege escalation via…