CVE-2022-23559

HIGH8.8EPSS 0.52%

Integer overflow in TFLite

發布日:2022/2/9修改日:2024/11/13
也稱為:GHSA-98p5-x8x4-c9m5BIT-tensorflow-2022-23559PYSEC-2022-123PYSEC-2022-68

描述

### Impact An attacker can craft a TFLite model that would cause an integer overflow [in embedding lookup operations](https://github.com/tensorflow/tensorflow/blob/ca6f96b62ad84207fbec580404eaa7dd7403a550/tensorflow/lite/kernels/embedding_lookup_sparse.cc#L179-L189): ```cc int embedding_size = 1; int lookup_size = 1; for (int i = 0; i < lookup_rank - 1; i++, k++) { const int dim = dense_shape->data.i32[i]; lookup_size *= dim; output_shape->data[k] = dim; } for (int i = 1; i < embedding_rank; i++, k++) { const int dim = SizeOfDimension(value, i); embedding_size *= dim; output_shape->data[k] = dim; } ``` Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. ### Patches We have patched the issue in GitHub commits [f19be71717c497723ba0cea0379e84f061a75e01](https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01), [1de49725a5fc4e48f1a3b902ec3599ee99283043](https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043) and [a4e401da71458d253b05e41f28637b65baf64be4](https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4). The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. ### For more information Please 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. ### Attribution This vulnerability has been reported by Wang Xuan of Qihoo 360 AIVul Team.

受影響套件(6)

  • Bitnami/tensorflowfrom 0, < 2.5.3, >= 2.6.0, < 2.6.3, >= 2.7.0, < 2.7.1
  • PyPI/tensorflowfrom 0, < 2.5.3
  • PyPI/tensorflow-cpufrom 0, < 2.5.3
  • PyPI/tensorflow-cpufrom 0, < a4e401da71458d253b05e41f28637b65baf64be4, < 1de49725a5fc4e48f1a3b902ec3599ee99283043, < f19be71717c497723ba0cea0379e84f061a75e01 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3
  • PyPI/tensorflow-gpufrom 0, < 2.5.3
  • PyPI/tensorflow-gpufrom 0, < a4e401da71458d253b05e41f28637b65baf64be4, < 1de49725a5fc4e48f1a3b902ec3599ee99283043, < f19be71717c497723ba0cea0379e84f061a75e01 | from 0, < 2.5.3, >= 2.6.0, < 2.6.3

CVSS 分數

來源版本嚴重程度向量
osvCVSS 4.0—CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
osvCVSS 3.1HIGH8.8CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

參考連結(9)