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Security Bulletin: TensorFlow in Watson Machine Learning 1.6.2 and 1.7.0 has been patched for various security issues in nanopb.

Security Bulletin


TensorFlow in Watson Machine Learning 1.6.2 and 1.7.0 has had various secuirty issue published for nanopb. These have been patched in the latest versions of TensorFlow.

Vulnerability Details

Third Party Entry:   193026
DESCRIPTION:   Nanopb pb_encode() buffer overflow
CVSS Base score: 4.8
CVSS Temporal Score: See: for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:N)

Affected Products and Versions

Affected Product(s)Version(s)
IBM Watson Machine Learning Community Edition1.6.2
IBM Watson Machine Learning Community Edition1.7.0


Users should update TensorFlow from the Watson Machine Learning Community Edition conda channel:

For WML-CE 1.6.2, update using

conda install tensorflow-gpu=1.15.5


conda install tensorflow=1.15.5

For WML-CE 1.7.0, update using

conda install tensorflow-gpu=2.1.3


conda install tensorflow=2.1.3

Workarounds and Mitigations


Get Notified about Future Security Bulletins



Change History

04 Feb 2021: Initial Publication

*The CVSS Environment Score is customer environment specific and will ultimately impact the Overall CVSS Score. Customers can evaluate the impact of this vulnerability in their environments by accessing the links in the Reference section of this Security Bulletin.


According to the Forum of Incident Response and Security Teams (FIRST), the Common Vulnerability Scoring System (CVSS) is an "industry open standard designed to convey vulnerability severity and help to determine urgency and priority of response." IBM PROVIDES THE CVSS SCORES ""AS IS"" WITHOUT WARRANTY OF ANY KIND, INCLUDING THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. CUSTOMERS ARE RESPONSIBLE FOR ASSESSING THE IMPACT OF ANY ACTUAL OR POTENTIAL SECURITY VULNERABILITY.

Document Location


[{"Business Unit":{"code":"BU053","label":"Cloud & Data Platform"},"Product":{"code":"SGLMYS","label":"IBM PowerAI"},"Component":"","Platform":[{"code":"PF016","label":"Linux"}],"Version":"1.6.2,1.7.0","Edition":"","Line of Business":{"code":"LOB10","label":"Data and AI"}}]

Document Information

Modified date:
04 February 2021