Vulnerability Name: | CVE-2022-41889 (CCN-240386) | ||||||||||||
Assigned: | 2022-11-18 | ||||||||||||
Published: | 2022-11-18 | ||||||||||||
Updated: | 2022-11-22 | ||||||||||||
Summary: | TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. | ||||||||||||
CVSS v3 Severity: | 7.5 High (CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H) 6.5 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
4.2 Medium (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
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CVSS v2 Severity: | 4.9 Medium (CCN CVSS v2 Vector: AV:N/AC:H/Au:S/C:N/I:N/A:C)
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Vulnerability Type: | CWE-476 | ||||||||||||
Vulnerability Consequences: | Denial of Service | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2022-41889 Source: XF Type: UNKNOWN tensorflow-cve202241889-dos(240386) Source: CCN Type: TensorFlow GIT Repository Segfault via invalid attributes in pywrap_tfe_src.cc Source: CCN Type: IBM Security Bulletin 6855117 (Watson Discovery) IBM Watson Discovery Cartridge for IBM Cloud Pak for Data affected by vulnerability in TensorFlow Source: CCN Type: IBM Security Bulletin 6921283 (Robotic Process Automation for Cloud Pak) Multiple Security Vulnerabilities may affect IBM Robotic Process Automation for Cloud Pak. Source: CCN Type: IBM Security Bulletin 7010075 (Watson Assistant for Cloud Pak for Data) IBM Watson Assistant for IBM Cloud Pak for Data is vulnerable to multiple vulerabilities in TensorFlow Source: CCN Type: Mend Vulnerability Database CVE-2022-41889 | ||||||||||||
Vulnerable Configuration: | Configuration CCN 1: Denotes that component is vulnerable | ||||||||||||
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