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[email protected]CVE-2021-29546

HistoryMay 14, 2021 - 8:15 p.m.

CVE-2021-29546

2021-05-1420:15:12

CWE-369

[email protected]

web.nvd.nist.gov

tensorflow

cve-2021-29546

machine learning

security

vulnerability

nvd

integer division

undefined behavior

fix

cherrypick

eigen kernel

quantization utils

4.6 Medium

CVSS2

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

7.8 High

CVSS3

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

0.0005 Low

EPSS

Percentile

18.0%

JSON

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in tf.raw_ops.QuantizedBiasAdd. This is because the implementation of the Eigen kernel(https://github.com/tensorflow/tensorflow/blob/61bca8bd5ba8a68b2d97435ddfafcdf2b85672cd/tensorflow/core/kernels/quantization_utils.h#L812-L849) does a division by the number of elements of the smaller input (based on shape) without checking that this is not zero. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Affected configurations

Vulners

NVD

Node

tensorflowtensorflowRange<2.1.4

tensorflowtensorflowRange2.2.0–2.2.3

tensorflowtensorflowRange2.3.0–2.3.3

tensorflowtensorflowRange2.4.0–2.4.2

CPENameOperatorVersion
google:tensorflowgoogle tensorflowlt2.1.4
google:tensorflowgoogle tensorflowlt2.2.3
google:tensorflowgoogle tensorflowlt2.3.3
google:tensorflowgoogle tensorflowlt2.4.2

CPE	Name	Operator	Version
google:tensorflow	google tensorflow	lt	2.1.4
google:tensorflow	google tensorflow	lt	2.2.3
google:tensorflow	google tensorflow	lt	2.3.3
google:tensorflow	google tensorflow	lt	2.4.2

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": "< 2.1.4"
      },
      {
        "status": "affected",
        "version": ">= 2.2.0, < 2.2.3"
      },
      {
        "status": "affected",
        "version": ">= 2.3.0, < 2.3.3"
      },
      {
        "status": "affected",
        "version": ">= 2.4.0, < 2.4.2"
      }
    ]
  }
]