7.5 High
CVSS3
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
7.8 High
CVSS2
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
COMPLETE
AV:N/AC:L/Au:N/C:N/I:N/A:C
Multiple vulenerabilities CVE-2019-0205, CVE-2019-0210 in thrift package
CVEID:CVE-2019-0205
**DESCRIPTION:**In Apache Thrift all versions up to and including 0.12.0, a server or client may run into an endless loop when feed with specific input data. Because the issue had already been partially fixed in version 0.11.0, depending on the installed version it affects only certain language bindings.
CVSS Base score: 7.5
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/169460 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-2019-0210
**DESCRIPTION:**In Apache Thrift 0.9.3 to 0.12.0, a server implemented in Go using TJSONProtocol or TSimpleJSONProtocol may panic when feed with invalid input data.
CVSS Base score: 7.5
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/169459 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)
Affected Product(s) | Version(s) |
---|---|
IBM Watson Machine Learning CE | 1.6.0 |
IBM Watson Machine Learning CE | 1.6.1 |
IBM Watson Machine Learning CE | 1.6.2 |
Affected Product(s) | Version(s) | APAR | Remediation / First Fix |
---|---|---|---|
IBM Watson Machine Learning CE | 1.6.2 | None | thrift-cpp 0.12.0 580.gf96fa62 ibmdl/export/pub/software/server/ibm-ai/conda |
Fix: thrift-cpp version updated to 0.12.0 for CVE-2019-0210 and including code fix/changes for CVE-2019-0205.
Before installation, verify that the specific build of cudf is available in the conda channel using the command:
conda search cudf=0.9.0 -c <https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda/>
Output of the above command should contain the following (in addition to other builds of cudf):
cudf 0.9.0 cuda10.1_py36_626.gddcad2d ibmdl/export/pub/software/server/ibm-ai/conda
cudf 0.9.0 cuda10.1_py37_626.gddcad2d ibmdl/export/pub/software/server/ibm-ai/conda
Few other packages that will be updated automatically to the following versions when the above build of cudf is installed:
arrow-cpp 0.15.1 py36_603.g702c836 ibmdl/export/pub/software/server/ibm-ai/conda
arrow-cpp 0.15.1 py37_603.g702c836 ibmdl/export/pub/software/server/ibm-ai/conda
pyarrow 0.15.1 py36_609.g3a6717a ibmdl/export/pub/software/server/ibm-ai/conda
pyarrow 0.15.1 py37_609.g3a6717a ibmdl/export/pub/software/server/ibm-ai/conda
parquet-cpp 1.5.1 579.g6eecc60 ibmdl/export/pub/software/server/ibm-ai/conda
libcudf 0.9.0 cuda10.1_609.g113236a ibmdl/export/pub/software/server/ibm-ai/conda
thrift-cpp 0.12.0 580.gf96fa62 ibmdl/export/pub/software/server/ibm-ai/conda
Installation of fix: Install the fix for python3.6 conda environment using the following command.
conda install -c <https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda/> cudf=0.9.0=cuda10.1_py36_626.gddcad2d
Verification: The following command should pass and give one line output in python3.6 conda environment:
conda list cudf | grep cuda10.1_py36_626.gddcad2d
None
CPE | Name | Operator | Version |
---|---|---|---|
ibm powerai | eq | 1.6.2 |
7.5 High
CVSS3
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
7.8 High
CVSS2
Access Vector
NETWORK
Access Complexity
LOW
Authentication
NONE
Confidentiality Impact
NONE
Integrity Impact
NONE
Availability Impact
COMPLETE
AV:N/AC:L/Au:N/C:N/I:N/A:C