CVE-2022-29198 – tensorflow

Package

Manager: pip
Name: tensorflow
Vulnerable Version: >=0 <2.6.4 || >=2.7.0 <2.7.2 || >=2.8.0 <2.8.1

Severity

Level: Medium

CVSS v3.1: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

CVSS v4.0: CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS: 0.00044 pctl0.12769

Details

Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix` ### Impact The implementation of [`tf.raw_ops.SparseTensorToCSRSparseMatrix`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/sparse/sparse_tensor_to_csr_sparse_matrix_op.cc#L65-L119) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack: ```python import tensorflow as tf indices = tf.constant(53, shape=[3], dtype=tf.int64) values = tf.constant(0.554979503, shape=[218650], dtype=tf.float32) dense_shape = tf.constant(53, shape=[3], dtype=tf.int64) tf.raw_ops.SparseTensorToCSRSparseMatrix( indices=indices, values=values, dense_shape=dense_shape) ``` The code assumes `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this: ```cc const Tensor& indices = ctx->input(0); const Tensor& values = ctx->input(1); const Tensor& dense_shape = ctx->input(2); const int rank = dense_shape.NumElements(); OP_REQUIRES(ctx, rank == 2 || rank == 3, errors::InvalidArgument("SparseTensor must have rank 2 or 3; ", "but indices has rank: ", rank)); auto dense_shape_vec = dense_shape.vec<int64_t>(); // ... OP_REQUIRES_OK( ctx, coo_to_csr(batch_size, num_rows, indices.template matrix<int64_t>(), batch_ptr.vec<int32>(), csr_row_ptr.vec<int32>(), csr_col_ind.vec<int32>())); ``` ### Patches We have patched the issue in GitHub commit [ea50a40e84f6bff15a0912728e35b657548cef11](https://github.com/tensorflow/tensorflow/commit/ea50a40e84f6bff15a0912728e35b657548cef11). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, 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 Neophytos Christou from Secure Systems Lab at Brown University.

Metadata

Created: 2022-05-24T22:08:45Z
Modified: 2022-05-24T22:08:45Z
Source: https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2022/05/GHSA-mg66-qvc5-rm93/GHSA-mg66-qvc5-rm93.json
CWE IDs: ["CWE-20"]
Alternative ID: GHSA-mg66-qvc5-rm93
Finding: F184
Auto approve: 1