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GitHub_MCVE-2021-41212

HistoryNov 05, 2021 - 9:15 p.m.

CVE-2021-41212

2021-11-0521:15:08

CWE-125

GitHub_M

web.nvd.nist.gov

tensorflow

machine learning

open source

cve-2021-41212

security vulnerability

heap array

out-of-bounds

fix

nvd

CVSS2

3.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

NONE

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:P/I:N/A:P

CVSS3

7.1

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

NONE

Availability Impact

HIGH

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

AI Score

6.8

Confidence

High

EPSS

0.001

Percentile

17.8%

JSON

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for tf.ragged.cross can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected configurations

Nvd

Vulners

Node

googletensorflowRange<2.4.4

googletensorflowRange2.5.0–2.5.2

googletensorflowMatch2.6.0

VendorProductVersionCPE
googletensorflow*cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
googletensorflow2.6.0cpe:2.3:a:google:tensorflow:2.6.0:*:*:*:*:*:*:*

Vendor	Product	Version	CPE
google	tensorflow	*	cpe:2.3:a:google:tensorflow::::::::
google	tensorflow	2.6.0	cpe:2.3:a:google:tensorflow:2.6.0:::::::*

CNA Affected

[
  {
    "product": "tensorflow",
    "vendor": "tensorflow",
    "versions": [
      {
        "status": "affected",
        "version": ">= 2.6.0, < 2.6.1"
      },
      {
        "status": "affected",
        "version": ">= 2.5.0, < 2.5.2"
      },
      {
        "status": "affected",
        "version": "< 2.4.4"
      }
    ]
  }
]

References

github.com/tensorflow/tensorflow/commit/fa6b7782fbb14aa08d767bc799c531f5e1fb3bb8

github.com/tensorflow/tensorflow/security/advisories/GHSA-fr77-rrx3-cp7g

CVSS2

3.6

Attack Vector

LOCAL

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

PARTIAL

Integrity Impact

NONE

Availability Impact

PARTIAL

AV:L/AC:L/Au:N/C:P/I:N/A:P

CVSS3

7.1

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

NONE

Availability Impact

HIGH

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

AI Score

6.8

Confidence

High

EPSS

0.001

Percentile

17.8%

JSON

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