Vulnerability Name: | CVE-2020-15265 (CCN-190507) | ||||||||||||
Assigned: | 2020-08-07 | ||||||||||||
Published: | 2020-08-07 | ||||||||||||
Updated: | 2021-08-17 | ||||||||||||
Summary: | In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. | ||||||||||||
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)
2.9 Low (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L/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-125 | ||||||||||||
Vulnerability Consequences: | Denial of Service | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2020-15265 Source: XF Type: UNKNOWN tensorflow-cve202015265-dos(190507) Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808 Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/issues/42105 Source: CCN Type: TensorFlow GIT Repository Segfault in `tf.quantization.quantize_and_dequantize` Source: CONFIRM Type: Exploit, Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rrfp-j2mp-hq9c Source: CCN Type: IBM Security Bulletin 6412433 (Watson Machine Learning Community Edition) TensorFlow in Watson Machine Learning Community Edition 1.6.2 and 1.7.0 has been patched for various security issues. Source: CCN Type: IBM Security Bulletin 6416135 (Watson Discovery) IBM Watson Discovery for IBM Cloud Pak for Data affected by vulnerability in TensorFlow Source: CCN Type: IBM Security Bulletin 6564721 (Maximo Application Suite) Multiple vulnerabilities fixed in IBM Maximo Application Suite Monitor Source: CCN Type: WhiteSource Vulnerability Database CVE-2020-15265 | ||||||||||||
Vulnerable Configuration: | Configuration 1: Configuration CCN 1: Denotes that component is vulnerable | ||||||||||||
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