Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 fractional_avg_pool_op.cc tf.raw_ops.FractionalAvgPool output_length denial of service
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic has been found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1. This affects the function tf.raw_ops.FractionalAvgPool of the file core/kernels/fractional_avg_pool_op.cc. This manipulation of the argument output_length causes denial of service.
This vulnerability is handled as CVE-2021-29550. The attack can be initiated remotely. There is not any exploit available.
It is recommended to upgrade the affected component.
Details
A vulnerability was found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 (Artificial Intelligence Software). It has been declared as problematic. Affected by this vulnerability is the function tf.raw_ops.FractionalAvgPool of the file core/kernels/fractional_avg_pool_op.cc. The manipulation of the argument output_length with an unknown input leads to a denial of service vulnerability. The CWE definition for the vulnerability is CWE-404. The product does not release or incorrectly releases a resource before it is made available for re-use. As an impact it is known to affect availability.
The weakness was released 05/15/2021. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2021-29550. 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. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
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.
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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: Denial of serviceCWE: CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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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 🔍
05/16/2021 🔍
Sources
Vendor: google.comAdvisory: github.com
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2021-29550 (🔍)
GCVE (CVE): GCVE-0-2021-29550
GCVE (VulDB): GCVE-100-175111
Entry
Created: 05/15/2021 08:17Updated: 05/16/2021 18:13
Changes: 05/15/2021 08:17 (42), 05/16/2021 18:06 (6), 05/16/2021 18:13 (1)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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