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cveGitHub_MCVE-2021-41201
HistoryNov 05, 2021 - 8:15 p.m.

CVE-2021-41201

2021-11-0520:15:08
CWE-824
GitHub_M
web.nvd.nist.gov
44
tensorflow
machine learning
cve-2021-41201
security
vulnerability
patch
nvd

CVSS2

4.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

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

CVSS3

7.8

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

7.4

Confidence

High

EPSS

0.001

Percentile

17.8%

TensorFlow is an open source platform for machine learning. In affeced versions during execution, EinsumHelper::ParseEquation() is supposed to set the flags in input_has_ellipsis vector and *output_has_ellipsis boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to true and never assigns false. This results in unitialized variable access if callers assume that EinsumHelper::ParseEquation() always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected configurations

Nvd
Vulners
Node
googletensorflowRange<2.4.4
OR
googletensorflowRange2.5.02.5.2
OR
googletensorflowMatch2.6.0
VendorProductVersionCPE
googletensorflow*cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
googletensorflow2.6.0cpe:2.3:a:google:tensorflow:2.6.0:*:*:*:*:*:*:*

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.6.0, < 2.6.1"
      },
      {
        "status": "affected",
        "version": ">= 2.5.0, < 2.5.2"
      },
      {
        "status": "affected",
        "version": "< 2.4.4"
      }
    ]
  }
]

CVSS2

4.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

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

CVSS3

7.8

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

AI Score

7.4

Confidence

High

EPSS

0.001

Percentile

17.8%