Vulnerability Name:

CVE-2021-29601 (CCN-201851)

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. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. 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:7.1 High (CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H)
6.2 Medium (Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/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): High
Availibility (A): High
6.3 Medium (CCN CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H)
5.5 Medium (CCN Temporal CVSS v3.1 Vector: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:H/A:H/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): High
Availibility (A): High
CVSS v2 Severity:3.6 Low (CVSS v2 Vector: AV:L/AC:L/Au:N/C:N/I:P/A:P)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): Low
Authentication (Au): None
Impact Metrics:Confidentiality (C): None
Integrity (I): Partial
Availibility (A): Partial
5.5 Medium (CCN CVSS v2 Vector: AV:L/AC:H/Au:S/C:N/I:C/A:C)
Exploitability Metrics:Access Vector (AV): Local
Access Complexity (AC): High
Athentication (Au): Single_Instance
Impact Metrics:Confidentiality (C): None
Integrity (I): Complete
Availibility (A): Complete
Vulnerability Type:CWE-190
Vulnerability Consequences:Denial of Service
References:Source: MITRE
Type: CNA
CVE-2021-29601

Source: XF
Type: UNKNOWN
tensorflow-cve202129601-overflow(201851)

Source: MISC
Type: Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73

Source: CCN
Type: TensorFlow GIT Repository
Integer overflow in TFLite concatentation

Source: CONFIRM
Type: Exploit, Patch, Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4

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:
  • 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 -