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githubGitHub Advisory DatabaseGHSA-9MQP-7V2H-2382
HistorySep 25, 2020 - 6:28 p.m.

Denial of Service in Tensorflow

2020-09-2518:28:19
CWE-20
CWE-617
GitHub Advisory Database
github.com
20

5 Medium

CVSS2

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

PARTIAL

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

5.3 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

LOW

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

0.002 Low

EPSS

Percentile

57.2%

Impact

The SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L235-L241

Although reverse_index_map_t and grad_values_t are accessed in a similar pattern, only reverse_index_map_t is validated to be of proper shape. Hence, malicious users can pass a bad grad_values_t to trigger an assertion failure in vec, causing denial of service in serving installations.

Patches

We have patched the issue in 390611e0d45c5793c7066110af37c8514e6a6c54 and will release a patch release for all affected versions.

We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability is a variant of GHSA-63xm-rx5p-xvqr

Affected configurations

Vulners
Node
tensorflowgpuMatch2.3.0
OR
tensorflowgpuMatch2.2.0
OR
tensorflowgpuRange<2.1.2
OR
tensorflowgpuRange<2.0.3
OR
tensorflowgpuRange<1.15.4
OR
tensorflowcpuMatch2.3.0
OR
tensorflowcpuMatch2.2.0
OR
tensorflowcpuRange<2.1.2
OR
tensorflowcpuRange<2.0.3
OR
tensorflowcpuRange<1.15.4
OR
tensorflowtensorflowMatch2.3.0
OR
tensorflowtensorflowMatch2.2.0
OR
tensorflowtensorflowRange<2.1.2
OR
tensorflowtensorflowRange<2.0.3
OR
tensorflowtensorflowRange<1.15.4

5 Medium

CVSS2

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

NONE

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

PARTIAL

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

5.3 Medium

CVSS3

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

NONE

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

NONE

Integrity Impact

NONE

Availability Impact

LOW

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

0.002 Low

EPSS

Percentile

57.2%