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Schwachstellenarchiv 6.861
Filter zurücksetzenApache Airflow, versions before 2.8.2, has a vulnerability that allows authenticated Ops and Viewers users to view all information on audit logs, including dag names and usernames they were not permit
A vulnerability was found in LangChain langchain_community 0.0.26. It has been classified as critical. Affected is the function load_local in the library libs/community/langchain_community/retrievers/
Apache Airflow, versions before 2.8.2, has a vulnerability that allows authenticated users to view DAG code and import errors of DAGs they do not have permission to view through the API and the UI.
Apache Superset: Improper data authorization when creating a new dataset
Apache Superset: Improper authorization validation on dashboards and charts import
Apache Superset: Improper validation of SQL statements allows for unauthorized access to data
Apache Superset: Improper Neutralization of custom SQL on embedded context
Apache Superset: Improper error handling on alerts
diffoscope before 256 allows directory traversal via an embedded filename in a GPG file. Contents of any file, such as ../.ssh/id_rsa, may be disclosed to an attacker. This occurs because the value of
Vyper is a pythonic Smart Contract Language for the ethereum virtual machine. When using the built-in `extract32(b, start)`, if the `start` index provided has for side effect to update `b`, the byte a
Vyper is a pythonic Smart Contract Language for the ethereum virtual machine. If an excessively large value is specified as the starting index for an array in `_abi_decode`, it can cause the read posi
PyPop C extensions possible vulnerability: missing arguments and redundant null pointers
LangChain Experimental vulnerable to arbitrary code execution
pretix before 2024.1.1 mishandles file validation.
langchain Server-Side Request Forgery vulnerability
orjson does not limit recursion for deeply nested JSON documents
Versions of the package fastecdsa before 2.3.2 are vulnerable to Use of Uninitialized Variable on the stack, via the curvemath_mul function in src/curveMath.c, due to being used and interpreted as use
Insufficient sanitization in MLflow leads to XSS when running a recipe that uses an untrusted dataset. This issue leads to a client-side RCE when running the recipe in Jupyter Notebook. The vulnerabil
Insufficient sanitization in MLflow leads to XSS when running an untrusted recipe.
Onnx Directory Traversal vulnerability
Onnx Out-of-bounds Read vulnerability
Summary
pypqc private key retrieval vulnerability
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