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-gpu
to version 2.5.1, 2.4.3, 2.3.4 or higher.
tensorflow-gpu is a machine learning framework.
Affected versions of this package are vulnerable to Improper Input Validation. The code for tf.raw_ops.SaveV2
does not properly validate the inputs and an attacker can trigger a null pointer dereference. The implementation uses ValidateInputs
to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses OP_REQUIRES
which translates to setting the Status
object of the current OpKernelContext
to an error status, followed by an empty return
statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in Compute
that follows the call to ValidateInputs
. This is equivalent to lacking the validation.