{"id":"GHSA-xm2v-8rrw-w9pm","summary":"Division by 0 in `Conv2DBackpropInput`","details":"### Impact\nAn attacker can trigger a division by 0 in `tf.raw_ops.Conv2DBackpropInput`:\n\n```python\nimport tensorflow as tf\n\ninput_tensor = tf.constant([52, 1, 1, 5], shape=[4], dtype=tf.int32)\nfilter_tensor = tf.constant([], shape=[0, 1, 5, 0], dtype=tf.float32)\nout_backprop = tf.constant([], shape=[52, 1, 1, 0], dtype=tf.float32)\n\ntf.raw_ops.Conv2DBackpropInput(input_sizes=input_tensor, filter=filter_tensor,\n                               out_backprop=out_backprop, strides=[1, 1, 1, 1],\n                               use_cudnn_on_gpu=True, padding='SAME',\n                               explicit_paddings=[], data_format='NHWC',\n                               dilations=[1, 1, 1, 1])\n```                 \n                    \nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/b40060c9f697b044e3107917c797ba052f4506ab/tensorflow/core/kernels/conv_grad_input_ops.h#L625-L655) does a division by a quantity that is controlled by the caller:\n\n```cc \n  const size_t size_A = output_image_size * dims.out_depth; \n  const size_t size_B = filter_total_size * dims.out_depth;\n  const size_t size_C = output_image_size * filter_total_size;\n  const size_t work_unit_size = size_A + size_B + size_C;\n  ...\n  const size_t shard_size =\n      use_parallel_contraction ? 1 :\n      (target_working_set_size + work_unit_size - 1) / work_unit_size;\n```\n\n### Patches\nWe have patched the issue in GitHub commit [2be2cdf3a123e231b16f766aa0e27d56b4606535](https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535).\n\nThe 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.\n\n### For more information\nPlease consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions.\n\n### Attribution\nThis vulnerability has been reported by Yakun Zhang and Ying Wang of Baidu X-Team.","aliases":["BIT-tensorflow-2021-29525","CVE-2021-29525","PYSEC-2021-162","PYSEC-2021-453","PYSEC-2021-651"],"modified":"2026-05-07T05:02:40.479998813Z","published":"2021-05-21T14:21:51Z","database_specific":{"github_reviewed_at":"2021-05-18T23:17:46Z","nvd_published_at":"2021-05-14T20:15:00Z","cwe_ids":["CWE-369"],"severity":"LOW","github_reviewed":true},"references":[{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xm2v-8rrw-w9pm"},{"type":"ADVISORY","url":"https://nvd.nist.gov/vuln/detail/CVE-2021-29525"},{"type":"WEB","url":"https://github.com/tensorflow/tensorflow/commit/2be2cdf3a123e231b16f766aa0e27d56b4606535"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-453.yaml"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-651.yaml"},{"type":"WEB","url":"https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-162.yaml"},{"type":"PACKAGE","url":"https://github.com/tensorflow/tensorflow"}],"affected":[{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.1.4"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-xm2v-8rrw-w9pm/GHSA-xm2v-8rrw-w9pm.json"}},{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.3"}]}],"versions":["2.2.0","2.2.1","2.2.2"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-xm2v-8rrw-w9pm/GHSA-xm2v-8rrw-w9pm.json"}},{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.3.0"},{"fixed":"2.3.3"}]}],"versions":["2.3.0","2.3.1","2.3.2"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-xm2v-8rrw-w9pm/GHSA-xm2v-8rrw-w9pm.json"}},{"package":{"name":"tensorflow","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.4.0"},{"fixed":"2.4.2"}]}],"versions":["2.4.0","2.4.1"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-xm2v-8rrw-w9pm/GHSA-xm2v-8rrw-w9pm.json"}},{"package":{"name":"tensorflow-cpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-cpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.1.4"}]}],"versions":["1.15.0","2.1.0","2.1.1","2.1.2","2.1.3"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-xm2v-8rrw-w9pm/GHSA-xm2v-8rrw-w9pm.json"}},{"package":{"name":"tensorflow-cpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-cpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.2.0"},{"fixed":"2.2.3"}]}],"versions":["2.2.0","2.2.1","2.2.2"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-xm2v-8rrw-w9pm/GHSA-xm2v-8rrw-w9pm.json"}},{"package":{"name":"tensorflow-cpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-cpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.3.0"},{"fixed":"2.3.3"}]}],"versions":["2.3.0","2.3.1","2.3.2"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-xm2v-8rrw-w9pm/GHSA-xm2v-8rrw-w9pm.json"}},{"package":{"name":"tensorflow-cpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-cpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"2.4.0"},{"fixed":"2.4.2"}]}],"versions":["2.4.0","2.4.1"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2021/05/GHSA-xm2v-8rrw-w9pm/GHSA-xm2v-8rrw-w9pm.json"}},{"package":{"name":"tensorflow-gpu","ecosystem":"PyPI","purl":"pkg:pypi/tensorflow-gpu"},"ranges":[{"type":"ECOSYSTEM","events":[{"introduced":"0"},{"fixed":"2.1.4"}]}],"versions":["0.12.0","0.12.1","1.0.0","1.0.1","1.1.0","1.10.0","1.10.1","1.11.0","1.12.0","1.12.2","1.12.3","1.13.1","1.13.2","1.14.0","1.15.0","1.15.2","1.15.3","1.15.4","1.15.5","1.2.0","1.2.1","1.3.0","1.4.0","1.4.1","1.5.0","1.5.1","1.6.0","1.7.0","1.7.1","1.8.0","1.9.0","2.0.0","2.0.1","2.0.2","2.0.3","2.0.4","2.1.0","2.1.1","2.1.2","2.1.3"],"database_specific":{"source":"https://github.com/github/advisory-database/blob/main/adv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