Security Bulletin
Summary
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
CVEID: CVE-2020-26243
DESCRIPTION: Nanopb is vulnerable to a denial of service, caused by a memory leak in oneof fields with PB_ENABLE_MALLOC. By sending a specially-crafted formed message, a remote attacker could exploit this vulnerability to cause a denial of service condition.
CVSS Base score: 7.5
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/192343 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 Products and Versions
| Affected Product(s) | Version(s) |
| IBM Watson Machine Learning Community Edition | 1.6.2 |
| IBM Watson Machine Learning Community Edition | 1.7.0 |
Remediation/Fixes
Update to the latest version of TensorFlow from the Watson Machine Learning conda channel:
https://public.dhe.ibm.com/ibmdl/export/pub/software/server/ibm-ai/conda/
Update TensorFlow using the conda packaging manager.
For WML-CE 1.6.2 use
conda install tensorflow-gpu=1.15.5
or
conda install tensorflow=1.15.5
For WML-CE 1.7.0 use
conda install tensorflow-gpu=2.1.3
or
conda install tensorflow=2.1.3
Workarounds and Mitigations
None
Get Notified about Future Security Bulletins
References
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.
Disclaimer
Review the IBM security bulletin disclaimer and definitions regarding your responsibilities for assessing potential impact of security vulnerabilities to your environment.
Document Location
Worldwide
Was this topic helpful?
Document Information
Modified date:
04 February 2021
Initial Publish date:
04 February 2021
UID
ibm16412377