The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learningUpgrade tensorflow/tensorflow
to version 2.1.4, 2.2.3, 2.3.3, 2.4.2 or higher.
Affected versions of this package are vulnerable to NULL Pointer Dereference. TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a null pointer dereference by providing an invalid permutation
to tf.raw_ops.SparseMatrixSparseCholesky
. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/kernels/sparse/sparse_cholesky_op.cc#L85-L86) fails to properly validate the input arguments. Although ValidateInputs
is called and there are checks in the body of this function, the code proceeds to the next line in ValidateInputs
since OP_REQUIRES
(https://github.com/tensorflow/tensorflow/blob/080f1d9e257589f78b3ffb75debf584168aa6062/tensorflow/core/framework/op_requires.h#L41-L48) is a macro that only exits the current function. Thus, the first validation condition that fails in ValidateInputs
will cause an early return from that function. However, the caller will continue execution from the next line. The fix is to either explicitly check context->status()
or to convert ValidateInputs
to return a Status
. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.