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
0.0004 Low
EPSS
Percentile
12.8%
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK
-fail in tf.raw_ops.QuantizeAndDequantizeV4Grad
. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L162-L163) does not validate the rank of the input_*
tensors. In turn, this results in the tensors being passes as they are to QuantizeAndDequantizePerChannelGradientImpl
(https://github.com/tensorflow/tensorflow/blob/95078c145b5a7a43ee046144005f733092756ab5/tensorflow/core/kernels/quantize_and_dequantize_op.h#L295-L306). However, the vec<T>
method, requires the rank to 1 and triggers a CHECK
failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
[
{
"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"
}
]
}
]