CVE-2021-29513

TensorFlow is an end-to-end open source platform for machine learning. Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++...

CVE-2021-29522

TensorFlow is an end-to-end open source platform for machine learning. The tf.rawops.Conv3DBackprop operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the...

CVE-2021-29536

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in QuantizedReshape by passing in invalid thresholds for the quantization. This is because the...

CVE-2021-29518

TensorFlow is an end-to-end open source platform for machine learning. In eager mode default in TF 2.0 and later, session operations are invalid. However, users could still call the raw ops associated with them and trigger a null pointer dereference. The...

CVE-2021-29514

TensorFlow is an end-to-end open source platform for machine learning. If the splits argument of RaggedBincount does not specify a valid SparseTensorhttps://www.tensorflow.org/apidocs/python/tf/sparse/SparseTensor, then an attacker can trigger a heap buffer overflow. This will cause a read from...

CVE-2020-5215

In TensorFlow before 1.15.2 and 2.0.1, converting a string from Python to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker c...

CVE-2020-26270

In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer...

CVE-2020-26271

In affected versions of TensorFlow under certain cases, loading a saved model can result in accessing uninitialized memory while building the computation graph. The MakeEdge function creates an edge between one output tensor of the src node given by outputindex and the input slot of the dst node...

CVE-2020-26268

In affected versions of TensorFlow the tf.rawops.ImmutableConst operation returns a constant tensor created from a memory mapped file which is assumed immutable. However, if the type of the tensor is not an integral type, the operation crashes the Python interpreter as it tries to write to the...

CVE-2020-15192

In Tensorflow before versions 2.2.1 and 2.3.1, if a user passes a list of strings to dlpack.todlpack there is a memory leak following an expected validation failure. The issue occurs because the status argument during validation failures is not properly checked. Since each of the above methods ca...

CVE-2020-26266

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen...

CVE-2020-26269

In TensorFlow release candidate versions 2.4.0rc, the general implementation for matching filesystem paths to globbing pattern is vulnerable to an access out of bounds of the array holding the directories. There are multiple invariants and preconditions that are assumed by the parallel...

CVE-2020-15199

In Tensorflow before version 2.3.1, the RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Code uses this quantity to initialize a different data...

CVE-2020-15197

In Tensorflow before version 2.3.1, the SparseCountSparseOutput implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the indices tensor has rank 2. This tensor must be a matrix because code assumes its elements are access...

CVE-2018-21233

TensorFlow before 1.7.0 has an integer overflow that causes an out-of-bounds read, possibly causing disclosure of the contents of process memory. This occurs in the DecodeBmp feature of the BMP decoder in core/kernels/decodebmpop.cc...

Leveraging Large Language Models for Command Injection Vulnerability Analysis in Python: an Empirical Study on Popular Open-Source Projects

Command injection vulnerabilities are a significant security threat in dynamic languages like Python, particularly in widely used open-source projects where security issues can have extensive impact. With the proven effectiveness of Large Language ModelsLLMs in code-related tasks, such as testing...

CVE-2025-47287 vulnerabilities

Vulnerabilities for packages: kubeflow-pipelines-visualization-server, dask-kubernetes, jupyter-base-notebook, airflow, grafana-oncall, tensorflow-cpu-jupyter...

GHSA-7CX3-6M66-7C5M vulnerabilities

Vulnerabilities for packages: kubeflow-pipelines-visualization-server, dask-kubernetes, jupyter-base-notebook, airflow, grafana-oncall, tensorflow-cpu-jupyter...

CVE-2025-47287 vulnerabilities

Vulnerabilities for packages: airflow-core, grafana-oncall, jupyter-base-notebook, airflow, tensorflow-cpu-jupyter, dask-kubernetes, kubeflow-pipelines-visualization-server...

GHSA-7CX3-6M66-7C5M vulnerabilities

Vulnerabilities for packages: airflow-core, grafana-oncall, jupyter-base-notebook, airflow, tensorflow-cpu-jupyter, dask-kubernetes, kubeflow-pipelines-visualization-server...