Vulnerability Name: | CVE-2020-15206 (CCN-188945) | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Assigned: | 2020-06-25 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Published: | 2020-06-25 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Updated: | 2021-09-16 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Summary: | In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, changing the TensorFlow's `SavedModel` protocol buffer and altering the name of required keys results in segfaults and data corruption while loading the model. This can cause a denial of service in products using `tensorflow-serving` or other inference-as-a-service installments. Fixed were added in commits f760f88b4267d981e13f4b302c437ae800445968 and fcfef195637c6e365577829c4d67681695956e7d (both going into TensorFlow 2.2.0 and 2.3.0 but not yet backported to earlier versions). However, this was not enough, as #41097 reports a different failure mode. The issue is patched in commit adf095206f25471e864a8e63a0f1caef53a0e3a6, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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)
7.8 High (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H/E:U/RL:O/RC:C)
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CVSS v2 Severity: | 5.0 Medium (CVSS v2 Vector: AV:N/AC:L/Au:N/C:N/I:N/A:P)
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Vulnerability Type: | CWE-20 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Vulnerability Consequences: | Denial of Service | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
References: | Source: MITRE Type: CNA CVE-2020-15206 Source: SUSE Type: Mailing List, Third Party Advisory openSUSE-SU-2020:1766 Source: XF Type: UNKNOWN tensorflow-cve202015206-dos(188945) Source: MISC Type: Patch, Third Party Advisory, Vendor Advisory https://github.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6 Source: MISC Type: Third Party Advisory https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 Source: CCN Type: TensorFlow Lite GIT Repository Incomplete validation in TensorFlow's SavedModel's constant nodes causes segfaults Source: CONFIRM Type: Exploit, Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-w5gh-2wr2-pm6g Source: CCN Type: IBM Security Bulletin 6357195 (Watson Machine Learning Community Edition) Numerous CVE entires for TensorFlow in Watson Machine Learning Community Edition Source: CCN Type: IBM Security Bulletin 6364979 (Watson Discovery) IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow Source: CCN Type: IBM Security Bulletin 6434211 (Watson Machine Learning) Tensor Flow security vulnerabilities on IBM Watson Machine Learning on CP4D Source: CCN Type: IBM Security Bulletin 6445773 (Watson Machine Learning Server on-prem) Tensor Flow security vulnerabilities on IBM Watson Machine Learning Server Source: CCN Type: WhiteSource Vulnerability Database CVE-2020-15206 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Vulnerable Configuration: | Configuration 1: Configuration 2: Configuration CCN 1: Denotes that component is vulnerable | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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