CVE-2026-1669: Keras Information Exposure (CVSS 7.1)

A vulnerability in keras-team/keras version 3.14.0 allows for arbitrary code execution due to improper handling of deserialization in the `Lambda` layer. Specifically, the `_raise_for_lambda_deserialization()` function fails to enforce the safe-mode guard when `safe_mode` is set to `None`, which is the default value when `from_config()` is called outside of a `SafeModeScope` context. This logic error conflates `None` (unset/default-deny) with `False` (explicitly disabled), bypassing the guard and allowing attacker-controlled `marshal` bytecode to be deserialized. Affected call sites include `keras.layers.deserialize(config)`, `keras.models.clone_model(model)`, and any direct invocation of `Lambda.from_config(config)` without an enclosing `SafeModeScope(True)`. This vulnerability can be exploited to achieve arbitrary OS-level code execution in the context of the server or user process.

Allocation of Resources Without Limits or Throttling in the HDF5 weight loading component in Google Keras 3.0.0 through 3.13.0 on all platforms allows a remote attacker to cause a Denial of Service (DoS) through memory exhaustion and a crash of the Python interpreter via a crafted .keras archive containing a valid model.weights.h5 file whose dataset declares an extremely large shape.

Flowise through 2.2.7 fails to sanitize path segments in the document-store loader endpoint, allowing unauthenticated attackers to write files outside the storage directory. Attackers can use parent-directory sequences to escape the storage directory and overwrite application files loaded at boot for remote code execution.

Metabase is an open-source business intelligence and embedded analytics tool. From 1.54.0 until 1.54.24, 1.55.24, 1.56.25, 1.57.19, 1.58.14, 1.59.10, and 1.60.4, a Metabase user with permission to add or edit a database connection can achieve remote code execution on the Metabase server by configuring a Snowflake connection to an attacker-controlled server, because a flaw in the Snowflake JDBC driver can write arbitrary files anywhere on the Metabase host, including replacing one of Metabase's own database driver files that later executes inside the Metabase process. This issue is fixed in versions 1.54.24, 1.55.24, 1.56.25, 1.57.19, 1.58.14, 1.59.10, and 1.60.4.

IBM DataStage on Cloud Pak for Data 5.4.0.0 IBM DataStage could allow a remote authenticated attacker to perform an arbitrary file write due to improper validation of file paths.

Budibase is a low code platform for creating internal tools, workflows, and admin panels. In 3.31.5 and earlier, a path traversal vulnerability in the PWA (Progressive Web App) ZIP processing endpoint (POST /api/pwa/process-zip) allows an authenticated user with builder privileges to read arbitrary files from the server filesystem, including /proc/1/environ which contains all environment variables — JWT secrets, database credentials, encryption keys, and API tokens. The server reads attacker-specified files via unsanitized path.join() with user-controlled input from icons.json inside the uploaded ZIP, then uploads the file contents to the object store (MinIO/S3) where they can be retrieved through signed URLs. This results in complete platform compromise as all cryptographic secrets and service credentials are exfiltrated in a single request.