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HistoryFeb 27, 2021 - 3:40 a.m.

Security Bulletin: IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow

2021-02-2703:40:09
www.ibm.com
6

7.8 High

CVSS3

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

5 Medium

CVSS2

Access Vector

NETWORK

Access 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

Summary

IBM Watson Discovery for IBM Cloud Pak for Data contains a vulnerable version of TensorFlow .

Vulnerability Details

CVEID:CVE-2020-26270
**DESCRIPTION:**TensorFlow is vulnerable to a denial of service, caused by a query-of-death flaw when running an LSTM/GRU model. By sending a specially-crafted request, a local authenticated attacker could exploit this vulnerability to causes a CHECK failure when using the CUDA backend.
CVSS Base score: 3.3
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/193281 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L)

CVEID:CVE-2020-26266
**DESCRIPTION:**TensorFlow could allow a local authenticated attacker to obtain sensitive information, caused by an uninitialized memory access flaw in Eigen types during code execution. By sending a specially-crafted request, an attacker could exploit this vulnerability to obtain sensitive information from the memory, or cause the system to crash.
CVSS Base score: 4.4
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/193277 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L)

CVEID:CVE-2020-26269
**DESCRIPTION:**TensorFlow is vulnerable to a denial of service, caused by an out-of-bounds read flaw in the general implementation for matching filesystem paths to globbing pattern. By sending a specially-crafted request, a remote attacker could exploit this vulnerability to causes the system to crash.
CVSS Base score: 7.5
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/193280 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)

CVEID:CVE-2020-26268
**DESCRIPTION:**TensorFlow is vulnerable to a denial of service, caused by a modification of assumed-immutable data issue. By sending a specially-crafted request, a local authenticated attacker could exploit this vulnerability to causes a segmentation fault.
CVSS Base score: 4.4
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/193279 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L)

CVEID:CVE-2020-26271
**DESCRIPTION:**TensorFlow could allow a local authenticated attacker to obtain sensitive information, caused by an uninitialized memory access flaw while building the computation graph. By sending a specially-crafted request, an attacker could exploit this vulnerability to obtain sensitive information from the memory, and use this information to launch further attacks against the affected system.
CVSS Base score: 3.3
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/193282 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N)

CVEID:CVE-2020-26267
**DESCRIPTION:**TensorFlow could allow a local authenticated attacker to obtain sensitive information, caused by an out-of-bounds read flaw when validating the src_format and dst_format attributes by the tf.raw_ops.DataFormatVecPermute API. By sending a specially-crafted request, an attacker could exploit this vulnerability to obtain sensitive information from the memory, or cause the system to crash.
CVSS Base score: 7.8
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/193278 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)

CVEID:CVE-2020-15265
**DESCRIPTION:**Tensorflow is vulnerable to a denial of service, caused by a segfault in tf.quantization.quantize_and_dequantize. By persuading a victim to open a specially crafted file, a remote attacker could exploit this vulnerability to cause a denial of service.
CVSS Base score: 3.3
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/190507 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L)

CVEID:CVE-2020-15266
**DESCRIPTION:**Tensorflow is vulnerable to a denial of service, caused by a segfault in tf.image.crop_and_resize. By persuading a victim to open a specially crafted file, a remote attacker could exploit this vulnerability to cause a denial of service.
CVSS Base score: 3.3
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/190506 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L)

Affected Products and Versions

Affected Product(s) Version(s)
ICP - Discovery 2.0.0-2.2.0

Remediation/Fixes

Upgrade to IBM Watson Discovery 2.2.1

<https://cloud.ibm.com/docs/discovery-data?topic=discovery-data-install&gt;

Workarounds and Mitigations

None

7.8 High

CVSS3

Attack Vector

LOCAL

Attack Complexity

LOW

Privileges Required

LOW

User Interaction

NONE

Scope

UNCHANGED

Confidentiality Impact

HIGH

Integrity Impact

HIGH

Availability Impact

HIGH

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

5 Medium

CVSS2

Access Vector

NETWORK

Access 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

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