CVE-2021-37647

CVSS V2 Low 2.1 CVSS V3 Medium 5.5
Description
TensorFlow is an end-to-end open source platform for machine learning. When a user does not supply arguments that determine a valid sparse tensor, `tf.raw_ops.SparseTensorSliceDataset` implementation can be made to dereference a null pointer. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L240-L251) has some argument validation but fails to consider the case when either `indices` or `values` are provided for an empty sparse tensor when the other is not. If `indices` is empty, then [code that performs validation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/data/sparse_tensor_slice_dataset_op.cc#L260-L261) (i.e., checking that the indices are monotonically increasing) results in a null pointer dereference. If `indices` as provided by the user is empty, then `indices` in the C++ code above is backed by an empty `std::vector`, hence calling `indices->dim_size(0)` results in null pointer dereferencing (same as calling `std::vector::at()` on an empty vector). We have patched the issue in GitHub commit 02cc160e29d20631de3859c6653184e3f876b9d7. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Overview
  • CVE ID
  • CVE-2021-37647
  • Assigner
  • security-advisories@github.com
  • Vulnerability Status
  • Analyzed
  • Published Version
  • 2021-08-12T19:15:08
  • Last Modified Date
  • 2021-08-18T16:25:11
CPE Configuration (Product)
CPE Vulnerable Operator Version Start Version End
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 1 OR 2.3.0 2.3.4
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* 1 OR 2.4.0 2.4.3
cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:* 1 OR
cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:* 1 OR
cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:* 1 OR
cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:* 1 OR
CVSS Version 2
  • Version
  • 2.0
  • Vector String
  • AV:L/AC:L/Au:N/C:N/I:N/A:P
  • Access Vector
  • LOCAL
  • Access Compatibility
  • LOW
  • Authentication
  • NONE
  • Confidentiality Impact
  • NONE
  • Integrity Impact
  • NONE
  • Availability Impact
  • PARTIAL
  • Base Score
  • 2.1
  • Severity
  • LOW
  • Exploitability Score
  • 3.9
  • Impact Score
  • 2.9
CVSS Version 3
  • Version
  • 3.1
  • Vector String
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
  • Attack Vector
  • LOCAL
  • Attack Compatibility
  • LOW
  • Privileges Required
  • LOW
  • User Interaction
  • NONE
  • Scope
  • UNCHANGED
  • Confidentiality Impact
  • NONE
  • Availability Impact
  • HIGH
  • Base Score
  • 5.5
  • Base Severity
  • MEDIUM
  • Exploitability Score
  • 1.8
  • Impact Score
  • 3.6
History
Created Old Value New Value Data Type Notes
2022-05-10 06:56:47 Added to TrackCVE
2022-12-05 08:06:44 2021-08-12T19:15Z 2021-08-12T19:15:08 CVE Published Date updated
2022-12-05 08:06:44 2021-08-18T16:25:11 CVE Modified Date updated
2022-12-05 08:06:44 Analyzed Vulnerability Status updated