TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.histogram_fixed_width is vulnerable to a crash when the values array contain Not a Number (NaN) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If values contains NaN then the result of the division is still NaN and the cast to int32 would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
{
"cwe_ids": [
"CWE-20"
]
}{
"versions": [
{
"introduced": "0"
},
{
"fixed": "2.6.4"
}
]
}{
"versions": [
{
"introduced": "2.7.0rc0"
},
{
"fixed": "2.7.2"
}
]
}