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cvelistGitHub_MCVELIST:CVE-2022-23587
HistoryFeb 04, 2022 - 10:32 p.m.

CVE-2022-23587 Integer overflow in Tensorflow

2022-02-0422:32:14
CWE-190
GitHub_M
www.cve.org

8.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

9.8 High

AI Score

Confidence

High

0.003 Low

EPSS

Percentile

69.9%

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.7.0, < 2.7.1"
      },
      {
        "status": "affected",
        "version": ">= 2.6.0, < 2.6.3"
      },
      {
        "status": "affected",
        "version": "< 2.5.3"
      }
    ]
  }
]

8.8 High

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

9.8 High

AI Score

Confidence

High

0.003 Low

EPSS

Percentile

69.9%

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