PYSEC-2020-336

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...

Input validation

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...

PYSEC-2020-256

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...

PYSEC-2020-336

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-2020-26270 CHECK-fail in LSTM with zero-length input in TensorFlow

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-2020-26270

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-2020-26270

CVE-2020-26270 affects TensorFlow: when an LSTM/GRU layer receives a zero-length input, the CUDA backend triggers a CHECK failure leading to a denial-of-service (query-of-death). Public sources consistently describe this as a vulnerability in affected TensorFlow builds, with fixes implemented in ...

CHECK-fail in LSTM with zero-length input in TensorFlow

Impact 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. Patches We have patched the...

CVE-2020-26270: Improper Input Validation

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...

PT-2020-16393 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.5 TensorFlow versions prior to 2.0.4 TensorFlow versions prior to 2.1.3 TensorFlow versions prior to 2.2.2 TensorFlow versions prior to 2.3.2 TensorFlow versions prior to 2.4.0 Description: In affected versio...