Security Bulletin
Summary
Node.js lodash module is vulnerable to a denial of service, caused by a prototype pollution attack. TensorBoard uses lodash. A remote attacker could exploit this vulnerability using the merge, mergeWith, and defaultsDeep functions to inject properties onto Object.prototype to crash the server and possibly execute arbitrary code on the system.
Vulnerability Details
Third Party Entry: 183560
DESCRIPTION: Node.js lodash module denial of service
CVSS Base score: 7.5
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/183560 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
TensorBoard has been rebuilt with a newer version of lodash.
Workarounds and Mitigations
TensorBoard must be updated.
For the GPU enabled version:
conda update tensorboard
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References
Change History
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.
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
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Document Information
Modified date:
17 July 2020
Initial Publish date:
17 July 2020
UID
ibm16250521