CVE-2021-29569

Heap out of bounds read in `RequantizationRange`

Severity Score

7.1

*CVSS v3.1

Exploit Likelihood

*EPSS

Affected Versions

*CPE

Public Exploits

*Multiple Sources

Exploited in Wild

*KEV

Decision

*SSVC

Descriptions

TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ac328eaa3870491ababc147822cd04e91a790643/tensorflow/core/kernels/requantization_range_op.cc#L49-L50) assumes that the `input_min` and `input_max` tensors have at least one element, as it accesses the first element in two arrays. If the tensors are empty, `.flat<T>()` is an empty object, backed by an empty array. Hence, accesing even the 0th element is a read outside the bounds. 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.

TensorFlow es una plataforma de código abierto de extremo a extremo para el aprendizaje automático. La implementación de "tf.raw_ops.MaxPoolGradWithArgmax" puede causar una lectura fuera de límites de los datos asignados a la pila si el atacante suministra entradas especialmente diseñadas. La implementación (https://github.com/tensorflow/tensorflow/blob/ac328eaa3870491ababc147822cd04e91a790643/tensorflow/core/kernels/requantization_range_op.cc#L49-L50) asume que los tensores "input_min" y" input_max" tienen al menos un elemento, a medida que accede al primer elemento en dos matrices. Si los tensores están vacíos, ".flat (T) ()" es un objeto vacío, respaldado por una matriz vacía. Por lo tanto, acceder incluso al elemento 0 es una lectura fuera de límites. La corrección será incluida en TensorFlow versión 2.5.0. También seleccionaremos este commit en TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 y TensorFlow 2.1.4

*Credits: N/A

CVSS Scores

Attack Vector

Local

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

None

Availability

High

Attack Vector

Local

Attack Complexity

High

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

Low

Attack Vector

Local

Attack Complexity

Low

Authentication

None

Confidentiality

Partial

Integrity

None

Availability

Partial

* Common Vulnerability Scoring System

SSVC

Decision:-

Exploitation

Automatable

Tech. Impact

* Organization's Worst-case Scenario

Timeline

2021-03-30 CVE Reserved
2021-05-14 CVE Published
2023-03-08 EPSS Updated
2024-08-03 CVE Updated
2024-08-03 First Exploit
---------- Exploited in Wild
---------- KEV Due Date

CWE

CWE-125: Out-of-bounds Read

CAPEC

References (2)

URL	Tag	Source

URL	Date	SRC
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3h8m-483j-7xxm	2024-08-03

URL	Date	SRC
https://github.com/tensorflow/tensorflow/commit/ef0c008ee84bad91ec6725ddc42091e19a30cf0e	2021-05-20

URL	Date	SRC

Affected Vendors, Products, and Versions

Vendor		Product				Version		Other		Status
Vendor	Product	Version	Other	Status	<-- -->	Vendor	Product	Version	Other	Status
Google Search vendor "Google"		Tensorflow Search vendor "Google" for product "Tensorflow"				< 2.1.4 Search vendor "Google" for product "Tensorflow" and version " < 2.1.4"		-		Affected
Google Search vendor "Google"		Tensorflow Search vendor "Google" for product "Tensorflow"				>= 2.2.0 < 2.2.3 Search vendor "Google" for product "Tensorflow" and version " >= 2.2.0 < 2.2.3"		-		Affected
Google Search vendor "Google"		Tensorflow Search vendor "Google" for product "Tensorflow"				>= 2.3.0 < 2.3.3 Search vendor "Google" for product "Tensorflow" and version " >= 2.3.0 < 2.3.3"		-		Affected
Google Search vendor "Google"		Tensorflow Search vendor "Google" for product "Tensorflow"				>= 2.4.0 < 2.4.2 Search vendor "Google" for product "Tensorflow" and version " >= 2.4.0 < 2.4.2"		-		Affected