Vulnerability Name:

CVE-2021-29517 (CCN-202086)

Assigned:2021-05-12
Published:2021-05-12
Updated:2021-05-20
Summary:TensorFlow is an end-to-end open source platform for machine learning. A malicious user could trigger a division by 0 in `Conv3D` implementation. The implementation(https://github.com/tensorflow/tensorflow/blob/42033603003965bffac51ae171b51801565e002d/tensorflow/core/kernels/conv_ops_3d.cc#L143-L145) does a modulo operation based on user controlled input. Thus, when `filter` has a 0 as the fifth element, this results in a division by 0. Additionally, if the shape of the two tensors is not valid, an Eigen assertion can be triggered, resulting in a program crash. 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:5.5 Medium (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
4.8 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H/E:U/RL:O/RC:C)
Exploitability Metrics:Attack Vector (AV): Local
Attack Complexity (AC): Low
Privileges Required (PR): Low
User Interaction (UI): None
Scope:Scope (S): Unchanged
Impact Metrics:Confidentiality (C): None
Integrity (I): None
Availibility (A): High
2.5 Low (CCN CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L)
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)
Exploitability Metrics:Attack Vector (AV): Local
Attack Complexity (AC): High
Privileges Required (PR): Low
User Interaction (UI): None
Scope:Scope (S): Unchanged
Impact Metrics:Confidentiality (C): None
Integrity (I): None
Availibility (A): Low
CVSS v2 Severity:2.1 Low (CVSS v2 Vector: AV:L/AC:L/Au:N/C:N/I:N/A:P)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): Low
Authentication (Au): None
Impact Metrics:Confidentiality (C): None
Integrity (I): None
Availibility (A): Partial
1.0 Low (CCN CVSS v2 Vector: AV:L/AC:H/Au:S/C:N/I:N/A:P)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): High
Athentication (Au): Single_Instance
Impact Metrics:Confidentiality (C): None
Integrity (I): None
Availibility (A): Partial
Vulnerability Type:CWE-369
Vulnerability Consequences:Denial of Service
References:Source: MITRE
Type: CNA
CVE-2021-29517

Source: XF
Type: UNKNOWN
tensorflow-cve202129517-dos(202086)

Source: MISC
Type: Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/799f835a3dfa00a4d852defa29b15841eea9d64f

Source: CCN
Type: TensorFlow GIT Repository
Division by zero in Conv3D

Source: CONFIRM
Type: Exploit, Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-772p-x54p-hjrv

Source: CCN
Type: IBM Security Bulletin 6486013 (Watson Machine Learning on CP4D)
Multiple TensorFlow Vulnerabilities Affect IBM Watson Machine Learning on CP4D

Vulnerable Configuration:Configuration 1:
  • cpe:/a:google:tensorflow:*:*:*:*:*:*:*:* (Version < 2.1.4)
  • OR cpe:/a:google:tensorflow:*:*:*:*:*:*:*:* (Version >= 2.2.0 and < 2.2.3)
  • OR cpe:/a:google:tensorflow:*:*:*:*:*:*:*:* (Version >= 2.3.0 and < 2.3.3)
  • OR cpe:/a:google:tensorflow:*:*:*:*:*:*:*:* (Version >= 2.4.0 and < 2.4.2)

    • Configuration CCN 1:
  • cpe:/a:google:tensorflow:2.4.2:*:*:*:*:*:*:*

    • * Denotes that component is vulnerable
    BACK
    google tensorflow *
    google tensorflow *
    google tensorflow *
    google tensorflow *
    google tensorflow 2.4.2