In SQLite before 3.32.3, select.c mishandles query-flattener optimization, leading to a multiSelectOrderBy heap overflow because of misuse of transitive properties for constant propagation. TensorFlow in WML CE uses SQLite as its embedded SQL database engine.
DESCRIPTION: SQLite is vulnerable to a heap-based buffer overflow, caused by improper bounds checking by the mishandling of query-flattener optimization in select.c. By sending a specially-crafted request, a remote attacker could overflow a buffer and execute arbitrary code on the system.
CVSS Base score: 9.8
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/184103 for the current score.
CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Affected Products and Versions
|IBM Watson Machine Learning Community Edition||1.6.2|
|IBM Watson Machine Learning Community Edition||1.7.0|
TensorFlow has been rebuild to include SQLite 3.32.3.
Workarounds and Mitigations
Tensorflow must be updated.
For the GPU enabled version:
conda update tensorflow-gpu
For the non GPU enabled version:
conda update tensorflow
Get Notified about Future Security Bulletins
17 Jul 2020: 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.
20 July 2020