Vulnerability Name: | CVE-2021-29600 (CCN-201850) | ||||||||||||
Assigned: | 2021-05-12 | ||||||||||||
Published: | 2021-05-12 | ||||||||||||
Updated: | 2021-05-19 | ||||||||||||
Summary: | TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `OneHot` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc#L68-L72). An attacker can craft a model such that at least one of the dimensions of `indices` would be 0. In turn, the `prefix_dim_size` value would become 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. | ||||||||||||
CVSS v3 Severity: | 7.8 High (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) 6.8 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H/E:U/RL:O/RC:C)
2.2 Low (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L/E:U/RL:O/RC:C)
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CVSS v2 Severity: | 4.6 Medium (CVSS v2 Vector: AV:L/AC:L/Au:N/C:P/I:P/A:P)
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Vulnerability Type: | CWE-369 | ||||||||||||
Vulnerability Consequences: | Denial of Service | ||||||||||||
References: | Source: MITRE Type: CNA CVE-2021-29600 Source: XF Type: UNKNOWN tensorflow-cve202129600-dos(201850) Source: MISC Type: Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/commit/3ebedd7e345453d68e279cfc3e4072648e5e12e5 Source: CCN Type: TensorFlow GIT Repository Division by zero in TFLite's implementation of OneHot Source: CONFIRM Type: Exploit, Patch, Third Party Advisory https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j8qh-3xrq-c825 Source: CCN Type: IBM Security Bulletin 6486007 (Watson Machine Learning on CP4D) Multiple TensorFlow Vulnerabilities Affect IBM Watson Machine Learning on CP4D | ||||||||||||
Vulnerable Configuration: | Configuration 1: Configuration CCN 1: ![]() | ||||||||||||
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