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cveGitHub_MCVE-2022-23589
HistoryFeb 04, 2022 - 11:15 p.m.

CVE-2022-23589

2022-02-0423:15:15
CWE-476
GitHub_M
web.nvd.nist.gov
58
tensorflow
grappler
null pointer
dereference
security vulnerability
fix
update
machine learning

CVSS2

4

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

SINGLE

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

PARTIAL

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

CVSS3

6.5

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

AI Score

6.6

Confidence

High

EPSS

0.003

Percentile

65.9%

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a SavedModel file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the GraphDef might not have the required nodes for the binary operation. If a node is missing, the correposning mul_*child would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during IsIdentityConsumingSwitch. 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.

Affected configurations

Nvd
Vulners
Node
googletensorflowRange2.5.2
OR
googletensorflowRange2.6.02.6.2
OR
googletensorflowMatch2.7.0
VendorProductVersionCPE
googletensorflow*cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
googletensorflow2.7.0cpe:2.3:a:google:tensorflow:2.7.0:*:*:*:*:*:*:*

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"
      }
    ]
  }
]

CVSS2

4

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

SINGLE

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

PARTIAL

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

CVSS3

6.5

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

AI Score

6.6

Confidence

High

EPSS

0.003

Percentile

65.9%