TensorFlow prior to versions 2.12.0 and 2.11.1 allows floating point exception in `tf.raw_ops.AvgPoolGrad` with non-positive stride and window size
Reporter | Title | Published | Views | Family All 23 |
---|---|---|---|---|
![]() | CVE-2023-25669 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA | 24 Mar 202323:32 | – | cvelist |
![]() | CVE-2023-25669 | 23 May 202502:13 | – | redhatcve |
![]() | Stack overflow | 25 Mar 202300:15 | – | prion |
![]() | Denial Of Service (DoS) | 30 Mar 202309:24 | – | veracode |
![]() | GHSA-RCF8-G8JV-VG6P TensorFlow has Floating Point Exception in AvgPoolGrad with XLA | 24 Mar 202321:56 | – | osv |
![]() | BIT-TENSORFLOW-2023-25669 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA | 6 Mar 202411:08 | – | osv |
![]() | CVE-2023-25669 | 25 Mar 202300:15 | – | osv |
![]() | CVE-2023-25669 | 25 Mar 202300:15 | – | nvd |
![]() | CVE-2023-25669 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA | 24 Mar 202323:32 | – | vulnrichment |
![]() | TensorFlow has Floating Point Exception in AvgPoolGrad with XLA | 24 Mar 202321:56 | – | github |
[
{
"vendor": "tensorflow",
"product": "tensorflow",
"versions": [
{
"version": "< 2.11.1",
"status": "affected"
}
]
}
]
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