Security Bulletin
Summary
Pillow before 7.1.0 has multiple out-of-bounds reads in libImaging/FliDecode.c. PyTorch and TensorFlow use Pillow.
Vulnerability Details
CVEID: CVE-2020-10177
DESCRIPTION: Pillow could allow a remote attacker to obtain sensitive information, caused by multiple out-of-bounds reads in FliDecode.c. By persuading a victim to open a specially crafted file, a remote attacker could exploit this vulnerability to obtain sensitive information.
CVSS Base score: 3.3
CVSS Temporal Score: See: https://exchange.xforce.ibmcloud.com/vulnerabilities/184186 for the current score.
CVSS Vector: (CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N)
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
A new version of Pillow has been included in WML CE. PyTorch and TensorFlow have been rebuilt to take advantage.
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
PyTorch must be updated.
For the GPU enabled version:
conda update pytorch
For the non GPU enabled version:
conda update pytorch-cpu
Get Notified about Future Security Bulletins
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
UID
ibm16250527