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cveGitHub_MCVE-2021-37644
HistoryAug 12, 2021 - 9:15 p.m.

CVE-2021-37644

2021-08-1221:15:07
CWE-617
GitHub_M
web.nvd.nist.gov
66
tensorflow
machine learning
cve-2021-37644
security patch
remote code execution
nvd

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

5.6

Confidence

High

EPSS

0

Percentile

12.6%

TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to num_elements list argument of tf.raw_ops.TensorListReserve causes the runtime to abort the process due to reallocating a std::vector to have a negative number of elements. The implementation calls std::vector.resize() with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. 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

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

5.6

Confidence

High

EPSS

0

Percentile

12.6%