CVSS 7.8 · High EPSS 0,22%
Kerentanan Buffer Copy without Checking Size of Input ('Classic Buffer Overflow') pada google tensorflow. Skor CVSS 3.1 7.8 (High) menurut NVD.
TensorFlow is an end-to-end open source platform for machine learning. Missing validation between arguments to `tf.raw_ops.Conv3DBackprop*` operations can result in heap buffer overflows. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/4814fafb0ca6b5ab58a09411523b2193fed23fed/tensorflow/core/kernels/conv_grad_shape_utils.cc#L94-L153) assumes that the `input`, `filter_sizes` and `out_backprop` tensors have the same shape, as they are accessed in parallel. 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.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
· uraikan di kalkulator | Vendor | Produk | Versi terdampak |
|---|---|---|
| tensorflow | Semua versi sebelum 2.1.4 | |
| tensorflow | Versi 2.2.0 hingga sebelum 2.2.3 | |
| tensorflow | Versi 2.3.0 hingga sebelum 2.3.3 | |
| tensorflow | Versi 2.4.0 hingga sebelum 2.4.2 |