// For flags

CVE-2021-29571

Memory corruption in `DrawBoundingBoxesV2`

Severity Score

7.8
*CVSS v3.1

Exploit Likelihood

*EPSS

Affected Versions

*CPE

Public Exploits

1
*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/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) assumes that the last element of `boxes` input is 4, as required by [the op](https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Since this is not checked attackers passing values less than 4 can write outside of bounds of heap allocated objects and cause memory corruption. If the last dimension in `boxes` is less than 4, accesses similar to `tboxes(b, bb, 3)` will access data outside of bounds. Further during code execution there are also writes to these indices. 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/31bd5026304677faa8a0b77602c6154171b9aec1/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L116-L130) asume que el último elemento de la entrada "boxes" es 4, ya que por [la operación] (https://www.tensorflow.org/api_docs/python/tf/raw_ops/DrawBoundingBoxesV2). Dado que esto no es comprobado, los atacantes que pasan valores inferiores a 4 pueden escribir fuera de límites de los objetos asignados a la pila y causar corrupción de la memoria. Si la última dimensión en "boxes" es menor que 4, accesos similares a" tboxes (b, bb, 3) "accederán a los datos fuera de límites. Además, durante una ejecución del código, también son escritos estos índices. La corrección será incluida en TensorFlow versión 2.5.0. También seleccionaremos este commit en TensorFlow versión 2.4.2, TensorFlow versión 2.3.3, TensorFlow versión 2.2.3 y TensorFlow versión 2.1.4, ya que estos también están afectados y aún están en el rango admitido

*Credits: N/A
CVSS Scores
Attack Vector
Local
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
Attack Vector
Local
Attack Complexity
High
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
Low
Availability
Low
Attack Vector
Local
Attack Complexity
Low
Authentication
None
Confidentiality
Partial
Integrity
Partial
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
  • 2024-08-03 CVE Updated
  • 2024-08-03 First Exploit
  • 2024-09-16 EPSS Updated
  • ---------- Exploited in Wild
  • ---------- KEV Due Date
CWE
  • CWE-787: Out-of-bounds Write
CAPEC
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