Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29549Division by 0 in `QuantizedAdd`
Low 2.5
In plain English
A low-severity security flaw in tensorflow from tensorflow. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.2% (higher than 9% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.
Official 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/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L289-L295) computes a modulo operation without validating that the divisor is not zero. Since `vector_num_elements` is determined based on input shapes(https://github.com/tensorflow/tensorflow/blob/6f26b3f3418201479c264f2a02000880d8df151c/tensorflow/core/kernels/quantized_add_op.cc#L522-L544), a user can trigger scenarios where this quantity is 0. 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 packages & fixed versions
| Ecosystem | Package | Fixed in | Advisory |
|---|---|---|---|
| PyPI | tensorflow | 2.3.3 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow | 2.4.2 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow | 2.1.4 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-186 |
| PyPI | tensorflow | 2.2.3 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow-cpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-477 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-x83m-p7pv-ch8v |
| PyPI | tensorflow-gpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-675 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-x83m-p7pv-ch8v |
Affected products (as reported)
| Vendor | Product | Versions |
|---|---|---|
| tensorflow | tensorflow | < 2.1.4>= 2.2.0, < 2.2.3>= 2.3.0, < 2.3.3>= 2.4.0, < 2.4.2 |
Weakness: CWE-369 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L