{ "schema_version": "1.4.0", "id": "GHSA-393f-2jr3-cp69", "modified": "2024-10-30T23:22:16Z", "published": "2021-05-21T14:22:21Z", "aliases": [ "CVE-2021-29533" ], "summary": "CHECK-fail in DrawBoundingBoxes", "details": "### Impact\nAn attacker can trigger a denial of service via a `CHECK` failure by passing an empty image to `tf.raw_ops.DrawBoundingBoxes`:\n\n```python\nimport tensorflow as tf\n\nimages = tf.fill([53, 0, 48, 1], 0.)\nboxes = tf.fill([53, 31, 4], 0.)\nboxes = tf.Variable(boxes)\nboxes[0, 0, 0].assign(3.90621)\ntf.raw_ops.DrawBoundingBoxes(images=images, boxes=boxes)\n```\n\nThis is because the [implementation](https://github.com/tensorflow/tensorflow/blob/ea34a18dc3f5c8d80a40ccca1404f343b5d55f91/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L148-L165) uses `CHECK_*` assertions instead of `OP_REQUIRES` to validate user controlled inputs. Whereas `OP_REQUIRES` allows returning an error condition back to the user, the `CHECK_*` macros result in a crash if the condition is false, similar to `assert`.\n\n```cc\nconst int64 max_box_row_clamp = std::min(max_box_row, height - 1);\n... \nCHECK_GE(max_box_row_clamp, 0);\n``` \n \nIn this case, `height` is 0 from the `images` input. This results in `max_box_row_clamp` being negative and the assertion being falsified, followed by aborting program execution.\n \n### Patches\nWe have patched the issue in GitHub commit [b432a38fe0e1b4b904a6c222cbce794c39703e87](https://github.com/tensorflow/tensorflow/commit/b432a38fe0e1b4b904a6c222cbce794c39703e87).\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.", "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-393f-2jr3-cp69" }, { "type": "ADVISORY", "url": "https://nvd.nist.gov/vuln/detail/CVE-2021-29533" }, { "type": "WEB", "url": "https://github.com/tensorflow/tensorflow/commit/b432a38fe0e1b4b904a6c222cbce794c39703e87" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-461.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-659.yaml" }, { "type": "WEB", "url": "https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-170.yaml" }, { "type": "PACKAGE", "url": "https://github.com/tensorflow/tensorflow" } ], "database_specific": { "cwe_ids": [ "CWE-754" ], "severity": "LOW", "github_reviewed": true, "github_reviewed_at": "2021-05-18T22:50:31Z", "nvd_published_at": "2021-05-14T20:15:00Z" } }