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GitHub Advisory DatabaseGHSA-63XM-RX5P-XVQR

HistorySep 25, 2020 - 6:28 p.m.

Heap buffer overflow in Tensorflow

2020-09-2518:28:29

CWE-119

CWE-122

CWE-787

GitHub Advisory Database

github.com

tensorflow

sparsefillemptyrowsgrad

heap buffer overflow

patched

upgrade

security guide

aivul team

qihoo 360

CVSS2

6.5

Attack Vector

NETWORK

Attack Complexity

LOW

Authentication

SINGLE

Confidentiality Impact

PARTIAL

Integrity Impact

PARTIAL

Availability Impact

PARTIAL

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

CVSS3

8.8

Attack Vector

NETWORK

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

EPSS

0.005

Percentile

75.3%

JSON

Impact

The implementation of SparseFillEmptyRowsGrad uses a double indexing pattern:
https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/core/kernels/sparse_fill_empty_rows_op.cc#L263-L269

It is possible for reverse_index_map(i) to be an index outside of bounds of grad_values, thus resulting in a heap buffer overflow.

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 has been reported by members of the Aivul Team from Qihoo 360.

Affected configurations

Vulners

Node

tensorflow-gpuMatch2.3.0

tensorflow-gpuMatch2.2.0

tensorflow-gpuRange2.1.0–2.1.2

tensorflow-gpuRange2.0.0–2.0.3

tensorflow-gpuRange<1.15.4

tensorflow-cpuMatch2.3.0

tensorflow-cpuMatch2.2.0

tensorflow-cpuRange2.1.0–2.1.2

tensorflow-cpuRange2.0.0–2.0.3

tensorflow-cpuRange<1.15.4

tensorflowtensorflowMatch2.3.0

tensorflowtensorflowMatch2.2.0

tensorflowtensorflowRange2.1.0–2.1.2

tensorflowtensorflowRange2.0.0–2.0.3

tensorflowtensorflowRange<1.15.4

VendorProductVersionCPE
*tensorflow-gpu2.3.0cpe:2.3:a:*:tensorflow-gpu:2.3.0:*:*:*:*:*:*:*
*tensorflow-gpu2.2.0cpe:2.3:a:*:tensorflow-gpu:2.2.0:*:*:*:*:*:*:*
*tensorflow-gpu*cpe:2.3:a:*:tensorflow-gpu:*:*:*:*:*:*:*:*
*tensorflow-cpu2.3.0cpe:2.3:a:*:tensorflow-cpu:2.3.0:*:*:*:*:*:*:*
*tensorflow-cpu2.2.0cpe:2.3:a:*:tensorflow-cpu:2.2.0:*:*:*:*:*:*:*
*tensorflow-cpu*cpe:2.3:a:*:tensorflow-cpu:*:*:*:*:*:*:*:*
tensorflowtensorflow2.3.0cpe:2.3:a:tensorflow:tensorflow:2.3.0:*:*:*:*:*:*:*
tensorflowtensorflow2.2.0cpe:2.3:a:tensorflow:tensorflow:2.2.0:*:*:*:*:*:*:*
tensorflowtensorflow*cpe:2.3:a:tensorflow:tensorflow:*:*:*:*:*:*:*:*

Vendor	Product	Version	CPE
*	tensorflow-gpu	2.3.0	cpe:2.3:a::tensorflow-gpu:2.3.0:::::::
*	tensorflow-gpu	2.2.0	cpe:2.3:a::tensorflow-gpu:2.2.0:::::::
*	tensorflow-gpu	*	cpe:2.3:a::tensorflow-gpu::::::::*
*	tensorflow-cpu	2.3.0	cpe:2.3:a::tensorflow-cpu:2.3.0:::::::
*	tensorflow-cpu	2.2.0	cpe:2.3:a::tensorflow-cpu:2.2.0:::::::
*	tensorflow-cpu	*	cpe:2.3:a::tensorflow-cpu::::::::*
tensorflow	tensorflow	2.3.0	cpe:2.3:a:tensorflow:tensorflow:2.3.0:::::::*
tensorflow	tensorflow	2.2.0	cpe:2.3:a:tensorflow:tensorflow:2.2.0:::::::*
tensorflow	tensorflow	*	cpe:2.3:a:tensorflow:tensorflow::::::::