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cveGitHub_MCVE-2021-37643
HistoryAug 12, 2021 - 7:15 p.m.

CVE-2021-37643

2021-08-1219:15:08
CWE-476
GitHub_M
web.nvd.nist.gov
56
tensorflow
machine learning
security
vulnerability
patch
github
tensorflow 2.6.0
tensorflow 2.5.1
tensorflow 2.4.3
tensorflow 2.3.4

CVSS2

3.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

NONE

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:N/I:P/A:P

CVSS3

7.7

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

7

Confidence

High

EPSS

0

Percentile

12.6%

TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to tf.raw_ops.MatrixDiagPartOp, then the code triggers a null pointer dereference (if input is empty) or produces invalid behavior, ignoring all values after the first. The implementation reads the first value from a tensor buffer without first checking that the tensor has values to read from. We have patched the issue in GitHub commit 482da92095c4d48f8784b1f00dda4f81c28d2988. 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.

Affected configurations

Nvd
Vulners
Node
googletensorflowRange2.3.02.3.4
OR
googletensorflowRange2.4.02.4.3
OR
googletensorflowMatch2.5.0
OR
googletensorflowMatch2.6.0rc0
OR
googletensorflowMatch2.6.0rc1
OR
googletensorflowMatch2.6.0rc2
VendorProductVersionCPE
googletensorflow*cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
googletensorflow2.5.0cpe:2.3:a:google:tensorflow:2.5.0:*:*:*:*:*:*:*
googletensorflow2.6.0cpe:2.3:a:google:tensorflow:2.6.0:rc0:*:*:*:*:*:*
googletensorflow2.6.0cpe:2.3:a:google:tensorflow:2.6.0:rc1:*:*:*:*:*:*
googletensorflow2.6.0cpe:2.3:a:google:tensorflow:2.6.0:rc2:*:*:*:*:*:*

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.5.0, < 2.5.1"
      },
      {
        "status": "affected",
        "version": ">= 2.4.0, < 2.4.3"
      },
      {
        "status": "affected",
        "version": "< 2.3.4"
      }
    ]
  }
]

CVSS2

3.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

NONE

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:N/I:P/A:P

CVSS3

7.7

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

7

Confidence

High

EPSS

0

Percentile

12.6%