2.5 Low
CVSS3
Attack Vector
LOCAL
Attack Complexity
HIGH
Privileges Required
LOW
User Interaction
NONE
Scope
UNCHANGED
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
LOW
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
0.0005 Low
EPSS
Percentile
17.8%
TensorFlow is an end-to-end open source platform for machine learning. An attacker can write outside the bounds of heap allocated arrays by passing invalid arguments to tf.raw_ops.Dilation2DBackpropInput
. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for h_out
and w_out
are guaranteed to be in range for out_backprop
(as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating h_in_max
/w_in_max
and in_backprop
. 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.
[
{
"product": "tensorflow",
"vendor": "tensorflow",
"versions": [
{
"status": "affected",
"version": "< 2.1.4"
},
{
"status": "affected",
"version": ">= 2.2.0, < 2.2.3"
},
{
"status": "affected",
"version": ">= 2.3.0, < 2.3.3"
},
{
"status": "affected",
"version": ">= 2.4.0, < 2.4.2"
}
]
}
]