CVE-2022-41887 Overflow in `tf.keras.losses.poisson` in Tensorflow

2022-11-1800:00:00

CWE-131

GitHub_M

www.cve.org

tensorflow

machine learning

overflow

poisson

binaryop

github

patch

commit

cherrypick

int32

size mismatch

crash

supported range

4.8 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

HIGH

Privileges Required

LOW

User Interaction

REQUIRED

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

0.001 Low

EPSS

Percentile

48.9%

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.

CNA Affected

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