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[email protected]CVE-2021-29566

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

CVE-2021-29566

2021-05-1420:15:13

CWE-787

[email protected]

web.nvd.nist.gov

tensorflow

cve-2021-29566

machine learning

security

vulnerability

out-of-bounds write

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 write outside the bounds of heap allocated arrays by passing invalid arguments to tf.raw_ops.Dilation2DBackpropInput. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/afd954e65f15aea4d438d0a219136fc4a63a573d/tensorflow/core/kernels/dilation_ops.cc#L321-L322) does not validate before writing to the output array. The values for h_out and w_out are guaranteed to be in range for out_backprop (as they are loop indices bounded by the size of the array). However, there are no similar guarantees relating h_in_max/w_in_max and in_backprop. 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"
      }
    ]
  }
]