Vulnerability · Published May 14, 2021 · Assigned by GitHub_M
CVE-2021-29534CHECK-fail in SparseConcat
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 trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.SparseConcat`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/b432a38fe0e1b4b904a6c222cbce794c39703e87/tensorflow/core/kernels/sparse_concat_op.cc#L76) takes the values specified in `shapes[0]` as dimensions for the output shape. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. 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-6j9c-grc6-5m6g |
| PyPI | tensorflow | 2.4.2 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow | 2.1.4 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-171 |
| PyPI | tensorflow | 2.2.3 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow-cpu | 2.4.2 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow-cpu | 2.1.4 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow-cpu | 2.2.3 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow-cpu | 2.3.3 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow-cpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-462 |
| PyPI | tensorflow-gpu | 2.3.3 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow-gpu | 2.4.2 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow-gpu | 2.1.4 | GHSA-6j9c-grc6-5m6g |
| PyPI | tensorflow-gpu | 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 | PYSEC-2021-660 |
| PyPI | tensorflow-gpu | 2.2.3 | GHSA-6j9c-grc6-5m6g |
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-754 · Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L