PyPI: tensorflow-rocm-enhanced
CVE-2021-29547
Safety vulnerability ID: SFTY-20210514-62306
Safety legacy ID: pyup.io-58087
Tensorflow-rocm-enhanced 2.1.4, 2.2.3, 2.3.3 and 2.4.2 include a fix for CVE-2021-29547: 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.
Overview
Heap out of bounds in `QuantizedBatchNormWithGlobalNormalization`
Advisory
Tensorflow-rocm-enhanced 2.1.4, 2.2.3, 2.3.3 and 2.4.2 include a fix for CVE-2021-29547: 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.
Affected Package
Also affects
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How to Fix
Mitigation and Workarounds
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Vulnerable Functions
Functions linked to known vulnerabilities.
References
- https://getsafety.com/vulnerabilities/SFTY-20210514-62306/CVE-2021-29547
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4fg4-p75j-w5xj
- https://nvd.nist.gov/vuln/detail/CVE-2021-29547
- https://github.com/tensorflow/tensorflow/commit/d6ed5bcfe1dcab9e85a4d39931bd18d99018e75b
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-475.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-673.yaml
- https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-184.yaml
- https://github.com/advisories/GHSA-4fg4-p75j-w5xj
Verified by Safety
Our Cybersecurity Intelligence Team reviewed this vulnerability. We combine public data with our own research to find issues not yet reported to public sources.
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