CVE-2021-29531 CHECK-fail in tf.raw_ops.EncodePng

Low 2.5 Published Updated

An attacker can cause a denial of service in TensorFlow by providing an empty input tensor to the PNG encoding operation, triggering a null pointer dereference.

Exploited in the wild
Not known
Login needed
Any signed-in user
Attackable
Local or same network only
Victim action needed
Not needed
Fix
Available

What is CVE-2021-29531?

CVE-2021-29531 is a low-severity vulnerability in Google Tensorflow, published on 14 May 2021. It can only be exploited from the same machine or local network, with no action from the victim.

Official description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a `CHECK` fail in PNG encoding by providing an empty input tensor as the pixel data. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L57-L60) only validates that the total number of pixels in the image does not overflow. Thus, an attacker can send an empty matrix for encoding. However, if the tensor is empty, then the associated buffer is `nullptr`. Hence, when calling `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/kernels/image/encode_png_op.cc#L79-L93), the first argument (i.e., `image.flat<T>().data()`) is `NULL`. This then triggers the `CHECK_NOTNULL` in the first line of `png::WriteImageToBuffer`(https://github.com/tensorflow/tensorflow/blob/e312e0791ce486a80c9d23110841525c6f7c3289/tensorflow/core/lib/png/png_io.cc#L345-L349). Since `image` is null, this results in `abort` being called after printing the stacktrace. Effectively, this allows an attacker to mount a denial of service attack. 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.

Weakness: CWE-754

Which versions are affected by CVE-2021-29531?

28 open source packages ship an affected version, including tensorflow, tensorflow-cpu and tensorflow-gpu. It affects 1 product.

PackageAffectedFixed in
tensorflow BitnamiAll versions2.1.4, 2.2.3, 2.3.3, 2.4.2
tensorflow PyPIAll versions2.1.4, 2.2.3, 2.3.3, 2.4.2
tensorflow PyPIAll versions2.1.4
tensorflow PyPIAll versions2.1.4
tensorflow PyPIFrom 2.2.02.2.3
tensorflow PyPIFrom 2.2.02.2.3
22 more packages
tensorflow PyPIFrom 2.3.02.3.3
tensorflow PyPIFrom 2.3.02.3.3
tensorflow PyPIFrom 2.4.02.4.2
tensorflow PyPIFrom 2.4.02.4.2
tensorflow-cpu PyPIAll versions2.1.4, 2.2.3, 2.3.3, 2.4.2
tensorflow-cpu PyPIAll versions2.1.4
tensorflow-cpu PyPIAll versions2.1.4
tensorflow-cpu PyPIFrom 2.2.02.2.3
tensorflow-cpu PyPIFrom 2.2.02.2.3
tensorflow-cpu PyPIFrom 2.3.02.3.3
tensorflow-cpu PyPIFrom 2.3.02.3.3
tensorflow-cpu PyPIFrom 2.4.02.4.2
tensorflow-cpu PyPIFrom 2.4.02.4.2
tensorflow-gpu PyPIAll versions2.1.4, 2.2.3, 2.3.3, 2.4.2
tensorflow-gpu PyPIAll versions2.1.4
tensorflow-gpu PyPIAll versions2.1.4
tensorflow-gpu PyPIFrom 2.2.02.2.3
tensorflow-gpu PyPIFrom 2.2.02.2.3
tensorflow-gpu PyPIFrom 2.3.02.3.3
tensorflow-gpu PyPIFrom 2.3.02.3.3
tensorflow-gpu PyPIFrom 2.4.02.4.2
tensorflow-gpu PyPIFrom 2.4.02.4.2

Products include Google Tensorflow.

How do I fix CVE-2021-29531?

Upgrade tensorflow to a fixed version for your release line: 2.1.4, 2.2.3, 2.3.3 or 2.4.2.

Is CVE-2021-29531 being exploited?

There is no known exploitation of CVE-2021-29531 in the wild and no public exploit code.

All Google Tensorflow vulnerabilities

Sources

Also known as BIT-tensorflow-2021-29531, GHSA-3qxp-qjq7-w4hf, PYSEC-2021-168, PYSEC-2021-459, PYSEC-2021-657.

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