CVE-2022-23589

Null pointer dereference in Grappler's `IsConstant` in Tensorflow

Severity Score

6.5

*CVSS v3.1

Exploit Likelihood

*EPSS

Affected Versions

*CPE

Public Exploits

*Multiple Sources

Exploited in Wild

*KEV

Decision

*SSVC

Descriptions

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Tensorflow es un Marco de Aprendizaje Automático de Código Abierto. Bajo determinados escenarios, el componente Grappler de TensorFlow puede desencadenar una desreferencia de puntero null. Se presentan 2 lugares donde esto puede ocurrir, para la misma alteración maliciosa de un archivo "SavedModel" (arreglar el primero desencadenaría la misma desreferencia en el segundo lugar). Primero, durante el plegado constante, el "GraphDef" podría no tener los nodos necesarios para la operación binaria. Si falta un nodo, el "mul_*child" correspondiente sería nulo, y la desreferencia en la línea posterior sería incorrecta. Tenemos un problema similar durante "IsIdentityConsumingSwitch". La corrección será incluida en TensorFlow versión 2.8.0. También seleccionaremos este commit en TensorFlow versión 2.7.1, TensorFlow versión 2.6.3, y TensorFlow versión 2.5.3, ya que estos también están afectados y aún están en el rango admitido

*Credits: N/A

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

High

Attack Vector

Network

Attack Complexity

Low

Authentication

Single

Confidentiality

None

Integrity

None

Availability

Partial

* Common Vulnerability Scoring System

SSVC

Decision:-

Exploitation

Automatable

Tech. Impact

* Organization's Worst-case Scenario

Timeline

2022-01-19 CVE Reserved
2022-02-04 CVE Published
2024-08-03 CVE Updated
2024-08-03 First Exploit
2024-10-07 EPSS Updated
---------- Exploited in Wild
---------- KEV Due Date

CWE

CWE-476: NULL Pointer Dereference

CAPEC

References (5)

URL	Tag	Source

URL	Date	SRC
https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/mutable_graph_view.cc#L59-L74	2024-08-03
https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L3466-L3497	2024-08-03

URL	Date	SRC
https://github.com/tensorflow/tensorflow/commit/045deec1cbdebb27d817008ad5df94d96a08b1bf	2022-02-10
https://github.com/tensorflow/tensorflow/commit/0a365c029e437be0349c31f8d4c9926b69fa3fa1	2022-02-10
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9px9-73fg-3fqp	2022-02-10

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"				<= 2.5.2 Search vendor "Google" for product "Tensorflow" and version " <= 2.5.2"		-		Affected
Google Search vendor "Google"		Tensorflow Search vendor "Google" for product "Tensorflow"				>= 2.6.0 <= 2.6.2 Search vendor "Google" for product "Tensorflow" and version " >= 2.6.0 <= 2.6.2"		-		Affected
Google Search vendor "Google"		Tensorflow Search vendor "Google" for product "Tensorflow"				2.7.0 Search vendor "Google" for product "Tensorflow" and version "2.7.0"		-		Affected