Vulnerability Name:

CVE-2021-37647 (CCN-207349)

Assigned:2021-08-11
Published:2021-08-11
Updated:2021-08-18
Summary: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.
CVSS v3 Severity:5.5 Medium (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
4.8 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
Exploitability Metrics:Attack Vector (AV): Local
Attack Complexity (AC): Low
Privileges Required (PR): Low
User Interaction (UI): None
Scope:Scope (S): Unchanged
Impact Metrics:Confidentiality (C): None
Integrity (I): None
Availibility (A): High
7.7 High (CCN CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H)
6.7 Medium (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:H/E:U/RL:O/RC:C)
Exploitability Metrics:Attack Vector (AV): Local
Attack Complexity (AC): Low
Privileges Required (PR): None
User Interaction (UI): None
Scope:Scope (S): Unchanged
Impact Metrics:Confidentiality (C): None
Integrity (I): High
Availibility (A): High
CVSS v2 Severity:2.1 Low (CVSS v2 Vector: AV:L/AC:L/Au:N/C:N/I:N/A:P)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): Low
Authentication (Au): None
Impact Metrics:Confidentiality (C): None
Integrity (I): None
Availibility (A): Partial
6.6 Medium (CCN CVSS v2 Vector: AV:L/AC:L/Au:N/C:N/I:C/A:C)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): Low
Athentication (Au): None
Impact Metrics:Confidentiality (C): None
Integrity (I): Complete
Availibility (A): Complete
Vulnerability Type:CWE-476
Vulnerability Consequences:Denial of Service
References:Source: MITRE
Type: CNA
CVE-2021-37647

Source: XF
Type: UNKNOWN
tensorflow-cve202137647-dos(207349)

Source: MISC
Type: Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/02cc160e29d20631de3859c6653184e3f876b9d7

Source: CCN
Type: TensorFlow GIT Repository
Null pointer dereference in SparseTensorSliceDataset

Source: CONFIRM
Type: Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c5x2-p679-95wc

Source: CCN
Type: IBM Security Bulletin 6523816 (Watson Discovery)
IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow

Vulnerable Configuration:Configuration 1:
  • cpe:/a:google:tensorflow:*:*:*:*:*:*:*:* (Version >= 2.3.0 and < 2.3.4)
  • OR cpe:/a:google:tensorflow:*:*:*:*:*:*:*:* (Version >= 2.4.0 and < 2.4.3)
  • OR cpe:/a:google:tensorflow:2.5.0:*:*:*:*:*:*:*
  • OR cpe:/a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*
  • OR cpe:/a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:*
  • OR cpe:/a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*

  • Configuration CCN 1:
  • cpe:/a:google:tensorflow:2.3.3:*:*:*:*:*:*:*
  • OR cpe:/a:google:tensorflow:2.4.2:*:*:*:*:*:*:*
  • OR cpe:/a:google:tensorflow:2.5.0:-:*:*:*:*:*:*
  • AND
  • cpe:/a:ibm:watson_discovery:2.0.0:*:*:*:*:*:*:*
  • OR cpe:/a:ibm:watson_discovery:2.2.1:*:*:*:*:*:*:*

  • * Denotes that component is vulnerable
    BACK
    google tensorflow *
    google tensorflow *
    google tensorflow 2.5.0
    google tensorflow 2.6.0 rc0
    google tensorflow 2.6.0 rc1
    google tensorflow 2.6.0 rc2
    google tensorflow 2.3.3
    google tensorflow 2.4.2
    google tensorflow 2.5.0 -
    ibm watson discovery 2.0.0
    ibm watson discovery 2.2.1