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cveGitHub_MCVE-2021-37660
HistoryAug 12, 2021 - 6:15 p.m.

CVE-2021-37660

2021-08-1218:15:10
CWE-369
GitHub_M
web.nvd.nist.gov
51
4
tensorflow
cve-2021-37660
machine learning
security
patch
nvd
vulnerability
division by 0
github commit
zero day

CVSS2

2.1

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

PARTIAL

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

CVSS3

5.5

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

AI Score

5.7

Confidence

High

EPSS

0

Percentile

5.1%

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a floating point exception by calling inplace operations with crafted arguments that would result in a division by 0. The implementation has a logic error: it should skip processing if x and v are empty but the code uses || instead of &&. We have patched the issue in GitHub commit e86605c0a336c088b638da02135ea6f9f6753618. 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"
      }
    ]
  }
]

Social References

More

CVSS2

2.1

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

PARTIAL

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

CVSS3

5.5

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

AI Score

5.7

Confidence

High

EPSS

0

Percentile

5.1%