Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 quantize_and_dequantize_op.cc tf.raw_ops.QuantizeAndDequantizeV3 out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.4 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected 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.QuantizeAndDequantizeV3 of the file core/kernels/quantize_and_dequantize_op.cc. This manipulation causes out-of-bounds.
This vulnerability is registered as CVE-2021-29553. Remote exploitation of the attack is possible. No exploit is available.
You should upgrade the affected component.
Details
A vulnerability has been found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 (Artificial Intelligence Software) and classified as problematic. Affected by this vulnerability is the function tf.raw_ops.QuantizeAndDequantizeV3 of the file core/kernels/quantize_and_dequantize_op.cc. The manipulation with an unknown input leads to a out-of-bounds vulnerability. The CWE definition for the vulnerability is CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect confidentiality.
The weakness was published 05/15/2021. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2021-29553. 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.
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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: 5.7VulDB Meta Temp Score: 5.6
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 7.1
NVD Vector: 🔍
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: 🔍
NVD Base Score: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / CWE-119
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
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 🔍
05/19/2021 🔍
Sources
Vendor: google.comAdvisory: github.com
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2021-29553 (🔍)
GCVE (CVE): GCVE-0-2021-29553
GCVE (VulDB): GCVE-100-175135
Entry
Created: 05/15/2021 08:51Updated: 05/19/2021 08:06
Changes: 05/15/2021 08:51 (41), 05/19/2021 07:59 (6), 05/19/2021 08:06 (19)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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