CVE-2022-41887

2022-11-1822:15:14

CWE-131

[email protected]

web.nvd.nist.gov

tensorflow

machine learning

cve-2022-41887

tensorflow crash

github commit

size mismatch

broadcast assignment

patch

fix

cherrypick

tensorflow 2.11

tensorflow 2.10.1

tensorflow 2.9.3

7.5 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

0.001 Low

EPSS

Percentile

44.0%

JSON

TensorFlow is an open source platform for machine learning. tf.keras.losses.poisson receives a y_pred and y_true that are passed through functor::mul in BinaryOp. If the resulting dimensions overflow an int32, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.

Affected configurations

Vulners

NVD

Node

tensorflowtensorflowRange2.10.0–2.10.1

tensorflowtensorflowRange<2.9.3

CPENameOperatorVersion
google:tensorflowgoogle tensorflowlt2.9.3
google:tensorflowgoogle tensorfloweq2.10.0

CPE	Name	Operator	Version
google:tensorflow	google tensorflow	lt	2.9.3
google:tensorflow	google tensorflow	eq	2.10.0

CNA Affected

[
  {
    "vendor": "tensorflow",
    "product": "tensorflow",
    "versions": [
      {
        "version": ">= 2.10.0, < 2.10.1",
        "status": "affected"
      },
      {
        "version": "< 2.9.3",
        "status": "affected"
      }
    ]
  }
]