Vulnerability Name:

CVE-2021-37641 (CCN-207545)

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. In affected versions if the arguments to `tf.raw_ops.RaggedGather` don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/ragged_gather_op.cc#L70) directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 (i.e., it is not a scalar). Furthermore, the implementation does not check that the list given by `params_nested_splits` is not an empty list of tensors. We have patched the issue in GitHub commit a2b743f6017d7b97af1fe49087ae15f0ac634373. 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:7.1 High (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H)
6.2 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/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): High
Integrity (I): None
Availibility (A): High
7.3 High (CCN CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:H)
6.4 Medium (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:L/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): High
Integrity (I): Low
Availibility (A): High
CVSS v2 Severity:3.6 Low (CVSS v2 Vector: AV:L/AC:L/Au:N/C:P/I:N/A:P)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): Low
Authentication (Au): None
Impact Metrics:Confidentiality (C): Partial
Integrity (I): None
Availibility (A): Partial
6.4 Medium (CCN CVSS v2 Vector: AV:L/AC:L/Au:S/C:C/I:P/A:C)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): Low
Athentication (Au): Single_Instance
Impact Metrics:Confidentiality (C): Complete
Integrity (I): Partial
Availibility (A): Complete
Vulnerability Type:CWE-125
Vulnerability Consequences:Obtain Information
References:Source: MITRE
Type: CNA
CVE-2021-37641

Source: XF
Type: UNKNOWN
tensorflow-cve202137641-info-disc(207545)

Source: MISC
Type: Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/a2b743f6017d7b97af1fe49087ae15f0ac634373

Source: CCN
Type: TensorFlow GIT Repository
Heap OOB in RaggedGather

Source: CONFIRM
Type: Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c8h-vvrj-w2p8

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