Vulnerability Name: | CVE-2022-23561 (CCN-219210) | ||||||||||||
Assigned: | 2022-02-02 | ||||||||||||
Published: | 2022-02-02 | ||||||||||||
Updated: | 2022-02-09 | ||||||||||||
Summary: | Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. | ||||||||||||
CVSS v3 Severity: | 8.8 High (CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) 7.7 High (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C)
7.7 High (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C)
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CVSS v2 Severity: | 6.5 Medium (CVSS v2 Vector: AV:N/AC:L/Au:S/C:P/I:P/A:P)
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Vulnerability Type: | CWE-787 | ||||||||||||
Vulnerability Consequences: | Gain Access | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2022-23561 Source: XF Type: UNKNOWN tensorflow-cve202223561-code-exec(219210) Source: CCN Type: TensorFlow GIT Repository Dangerous OOB write in TFLite Source: CCN Type: IBM Security Bulletin 6564605 (Watson Discovery) IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow | ||||||||||||
Vulnerable Configuration: | Configuration CCN 1: Denotes that component is vulnerable | ||||||||||||
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