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GitHub_MCVE-2020-26266

HistoryDec 10, 2020 - 11:15 p.m.

CVE-2020-26266

2020-12-1023:15:12

CWE-908

GitHub_M

web.nvd.nist.gov

117

tensorflow

cve-2020-26266

security vulnerability

uninitialized values

code execution

nvd

CVSS2

4.6

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

CVSS3

5.3

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

LOW

Integrity Impact

LOW

Availability Impact

LOW

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

AI Score

5.5

Confidence

High

EPSS

0.001

Percentile

38.5%

JSON

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

Affected configurations

Nvd

Vulners

Node

googletensorflowRange<1.15.5

googletensorflowRange2.0.0–2.0.4

googletensorflowRange2.1.0–2.1.3

googletensorflowRange2.2.0–2.2.2

googletensorflowRange2.3.0–2.3.2

VendorProductVersionCPE
googletensorflow*cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*

Vendor	Product	Version	CPE
google	tensorflow	*	cpe:2.3:a:google:tensorflow::::::::

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": "< 1.15.5"
      },
      {
        "status": "affected",
        "version": ">= 2.0.0, < 2.0.4"
      },
      {
        "status": "affected",
        "version": ">= 2.1.0, < 2.1.3"
      },
      {
        "status": "affected",
        "version": ">= 2.2.0, < 2.2.2"
      },
      {
        "status": "affected",
        "version": ">= 2.3.0, < 2.3.2"
      }
    ]
  }
]