Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 fractional_avg_pool_op.cc tf.raw_ops.FractionalAvgPoolGrad memory corruption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability categorized as critical has been discovered in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1. This issue affects the function tf.raw_ops.FractionalAvgPoolGrad of the file core/kernels/fractional_avg_pool_op.cc. Such manipulation leads to memory corruption.
This vulnerability is referenced as CVE-2021-29578. It is possible to launch the attack remotely. No exploit is available.
It is advisable 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) and classified as critical. Affected by this issue is the function tf.raw_ops.FractionalAvgPoolGrad of the file core/kernels/fractional_avg_pool_op.cc. The manipulation with an unknown input leads to a memory corruption vulnerability. Using CWE to declare the problem leads to CWE-119. The product performs operations on a memory buffer, but it can read from or write to a memory location that is outside of the intended boundary of the buffer. Impacted is availability.
The weakness was published 05/15/2021. The advisory is available at github.com. This vulnerability is handled as CVE-2021-29578. Successful exploitation requires user interaction by the victim. Technical details 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.
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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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| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Memory corruptionCWE: CWE-119
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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| Today | Unlock | Unlock | Unlock | Unlock |
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-2021-29578 (🔍)
GCVE (CVE): GCVE-0-2021-29578
GCVE (VulDB): GCVE-100-175190
Entry
Created: 05/15/2021 13:47Updated: 05/19/2021 15:41
Changes: 05/15/2021 13:47 (41), 05/19/2021 15:36 (6), 05/19/2021 15:41 (1)
Complete: 🔍
Cache ID: 216::103
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