Vulnerability Name:

CVE-2021-29528 (CCN-202037)

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. An attacker can trigger a division by 0 in `tf.raw_ops.QuantizedMul`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/55900e961ed4a23b438392024912154a2c2f5e85/tensorflow/core/kernels/quantized_mul_op.cc#L188-L198) does a division by a quantity that is controlled by the caller. 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
3.1 Low (CCN CVSS v3.1 Vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L)
2.7 Low (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:N/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): Network
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
2.1 Low (CCN CVSS v2 Vector: AV:N/AC:H/Au:S/C:N/I:N/A:P)
Exploitability Metrics:Access Vector (AV): Network
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-2021-29528

Source: XF
Type: UNKNOWN
tensorflow-cve202129528-dos(202037)

Source: MISC
Type: Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/a1b11d2fdd1e51bfe18bb1ede804f60abfa92da6

Source: CCN
Type: TensorFlow GIT Repository
Division by 0 in QuantizedMul

Source: CONFIRM
Type: Exploit, Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6f84-42vf-ppwp

Source: CCN
Type: IBM Security Bulletin 6486005 (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:tensorflow:tensorflow:2.2.0:*:*:*:-:*:*:*
  • OR cpe:/a:tensorflow:tensorflow:2.3.0:*:*:*:-:*:*:*
  • OR cpe:/a:google:tensorflow:2.1.0:-:*:*:-:*:*:*
  • OR cpe:/a:google:tensorflow:2.4.0:-:*:*:-:*:*:*

    • * Denotes that component is vulnerable
    BACK
    google tensorflow *
    google tensorflow *
    google tensorflow *
    google tensorflow *
    tensorflow tensorflow 2.2.0
    tensorflow tensorflow 2.3.0
    google tensorflow 2.1.0 -
    google tensorflow 2.4.0 -