Veille CVE

Vendredi 22 mai 2026

4 CVE

Critique 0 Élevée 3 Moyenne 1 Faible 0 Non évaluée 0 Exploitées (KEV) Tri : plus récentes « Python python » ✕
  1. CVE-2026-5843 8.6 Élevée

    Docker Desktop · Docker docker desktop

    The MLX inference backend in Docker Model Runner on macOS uses the MLX-LM library, which unconditionally imports and executes arbitrary Python files from model directories via the model_file configuration field in config.json. When a model's config.json specifies a model_file pointing to a Python file, MLX-LM uses importlib to load and execute it with no trust_remote_code gate or equivalent safety check. The MLX backend runs without sandboxing, resulting in arbitrary code execution on the Docker host as the Docker Desktop user. Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model from an attacker-controlled OCI registry and request inference.

  2. CVE-2026-5817 8.6 Élevée

    Docker Desktop · Docker docker desktop

    The vllm-metal inference backend in Docker Model Runner on macOS unconditionally sets trust_remote_code=True when loading model tokenizers, and runs without sandboxing. This causes transformers.AutoTokenizer.from_pretrained() to import and execute arbitrary Python files included in any model pulled from an OCI registry, resulting in arbitrary code execution on the Docker host as the Docker Desktop user when inference is triggered. Any container on the Docker network can trigger this by calling the model-runner.docker.internal API to pull a malicious model and request inference.

  3. CVE-2026-40610 5.5 Moyenne

    BentoML · Bentoml bentoml

    BentoML is a Python library for building online serving systems optimized for AI apps and model inference. In versions 1.4.38 and prior, the build packaging workflow follows attacker-controlled symlinks inside the build context and copies the referenced file contents into the generated Bento artifact. If a victim builds an untrusted repository or other attacker-supplied build context, the attacker can place a symlink such as loot.txt -> /tmp/outside-marker.txt or a link to a more sensitive local file. When bentoml build runs, BentoML dereferences the symlink and packages the target file contents into the Bento. The leaked file can then propagate further through export, push, or containerization workflows. An attacker can exfiltrate local files from the build host into the Bento artifact, exposing secrets such as cloud credentials, SSH keys, API tokens, environment files, or other sensitive local configurations. Because Bento artifacts are commonly exported, uploaded, stored, or containerized after build, the leaked file contents can spread beyond the original build machine. This issue has been fixed in version 1.4.39.

  4. CVE-2026-9291 7.1 Élevée

    AWS Amazon Braket Python SDK

    Insecure deserialization in the job results processing component in Amazon Braket SDK before 1.117.0 might allow a remote authenticated user with S3 write access to the job output bucket to achieve arbitrary code execution on any machine that processes job results. We recommend you upgrade to amazon-braket-sdk version 1.117.0 or later.