Global infos:

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero error and denial of service in `tf.raw_ops.QuantizedBatchNormWithGlobalNormalization`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55a97caa9e99c7f37a0bbbeb414dc55553d3ae7f/tensorflow/core/kernels/quantized_batch_norm_op.cc) does not validate all constraints specified in the op's contract(https://www.tensorflow.org/api_docs/python/tf/raw_ops/QuantizedBatchNormWithGlobalNormalization). 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.

CVE Status: Modified

References:

[email protected]

[email protected]

af854a3a-2127-422b-91ae-364da2661108

af854a3a-2127-422b-91ae-364da2661108

Metrics:

Attribute	Value
Attack Complexity	HIGH
Attack Vector	LOCAL
Availability Impact	LOW
Base Score	2.5
Base Severity	LOW
Confidentiality Impact	NONE
Integrity Impact	NONE
Privileges Required	LOW
Scope	UNCHANGED
User Interaction	NONE
Vector String	CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Exploitability Score	1
Impact Score	1.4
Source	[email protected]
Type	Secondary

Links:

Exploit-db
Github