Out-of-bounds Read in Google Tensorflow
CVE-2021-29547
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a segfault and denial of service via accessing data outside of bounds 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#L176-L189) assumes the inputs are not empty. If any of these inputs is empty, `.flat<T>()` is an empty buffer, so accessing the element at index 0 is accessing data outside of bounds. 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.
Vulnerability class: Buffer Overflow
EPSS: 0.002 (8.9th percentile) — read the EPSS interpretation.
CVSS v3 metric
CVSS v3 base score 2.5 (Low). Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L.
Affected products
- Google Tensorflow
- Tensorflow — versions < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3
Weakness classification (CWE)
References
- security-advisories@github.com (Patch, Third Party Advisory, x_refsource_MISC)
- security-advisories@github.com (x_refsource_CONFIRM, Exploit, Patch, Third Party Advisory)
Frequently asked questions
- What is CVE-2021-29547?
- CVE-2021-29547 is a low-severity vulnerability in Google Tensorflow, classified under Out-of-bounds Read. CVSS score: 2.5/10. Published 2021-05-14.
- How severe is CVE-2021-29547?
- Low severity. CVSS v3 base score is 2.5 out of 10.