CVEvulnerability
CVE-2021-29548
5.5 MEDIUM
Official page ↗
- Status
- Modified
- Published
- 2021-05-14
- Last modified
- 2026-06-17
- Assigner
- [email protected]
- CVSS 3.1 ([email protected])
- 2.5 LOW — CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
- CVSS 3.1 ([email protected])
- 5.5 MEDIUM — CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
- CVSS 2.0 ([email protected])
- 2.1 LOW — AV:L/AC:L/Au:N/C:N/I:N/A:P
- Weaknesses
- CWE-369
Description
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.
Affected configurations
• google tensorflow (< 2.1.4)
• google tensorflow (>= 2.2.0 < 2.2.3)
• google tensorflow (>= 2.3.0 < 2.3.3)
• google tensorflow (>= 2.4.0 < 2.4.2)
Related
Weakness · CWE (1)
- CWE-369 Divide By Zero weakness
References
- https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr Exploit, Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b Patch, Third Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p45v-v4pw-77jr Exploit, Patch, Third Party Advisory