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nvd[email protected]NVD:CVE-2022-41901
HistoryNov 18, 2022 - 10:15 p.m.

CVE-2022-41901

2022-11-1822:15:20
CWE-20
CWE-617
web.nvd.nist.gov
3
tensorflow
patch
check fail
sparsematrixnnz
github
commit
f856d02e5322821aad155dad9b3acab1e9f5d693
2.11
cherrypick
2.10.1
2.9.3
2.8.4
supported range

CVSS3

7.5

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

EPSS

0.001

Percentile

42.0%

TensorFlow is an open source platform for machine learning. An input sparse_matrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.raw_ops.SparseMatrixNNZ. We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.

Affected configurations

Nvd
Node
googletensorflowRange<2.8.4
OR
googletensorflowRange2.9.02.9.3
OR
googletensorflowRange2.10.02.10.1

CVSS3

7.5

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

HIGH

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

EPSS

0.001

Percentile

42.0%