Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 pooling_ops_3d.cc tf.raw_ops.MaxPool3DGradGrad null pointer dereference
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1. It has been classified as problematic. Affected by this issue is the function tf.raw_ops.MaxPool3DGradGrad of the file core/kernels/pooling_ops_3d.cc. The manipulation leads to null pointer dereference.
This vulnerability is uniquely identified as CVE-2021-29574. The attack is possible to be carried out remotely. No exploit exists.
Upgrading the affected component is recommended.
Details
A vulnerability, which was classified as problematic, has been found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 (Artificial Intelligence Software). This issue affects the function tf.raw_ops.MaxPool3DGradGrad of the file core/kernels/pooling_ops_3d.cc. The manipulation with an unknown input leads to a null pointer dereference vulnerability. Using CWE to declare the problem leads to CWE-476. A NULL pointer dereference occurs when the application dereferences a pointer that it expects to be valid, but is NULL, typically causing a crash or exit. Impacted is availability.
The weakness was disclosed 05/15/2021. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2021-29574. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit.
Upgrading to version 2.1.4, 2.2.3, 2.3.3, 2.4.2 or 2.5.0 eliminates this vulnerability. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
- Vendor: https://www.google.com/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Null pointer dereferenceCWE: CWE-476 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 2.1.4/2.2.3/2.3.3/2.4.2/2.5.0
Patch: github.com
Timeline
03/30/2021 🔍05/15/2021 🔍
05/15/2021 🔍
05/19/2021 🔍
Sources
Vendor: google.comAdvisory: github.com
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2021-29574 (🔍)
GCVE (CVE): GCVE-0-2021-29574
GCVE (VulDB): GCVE-100-175187
Entry
Created: 05/15/2021 13:45Updated: 05/19/2021 15:07
Changes: 05/15/2021 13:45 (41), 05/19/2021 15:04 (6), 05/19/2021 15:07 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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