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.
Third Party Entry: 193026
DESCRIPTION: Nanopb pb_encode() buffer overflow
CVSS Base score: 4.8
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/193026 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
|IBM Watson Machine Learning Community Edition||1.6.2|
|IBM Watson Machine Learning Community Edition||1.7.0|
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
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.
04 February 2021