Google TensorFlow up to 2.3.3/2.4.2/2.5.0 boosted_trees_create_quantile_stream_resource numeric conversion
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Google TensorFlow up to 2.3.3/2.4.2/2.5.0. This affects the function boosted_trees_create_quantile_stream_resource. Performing a manipulation results in numeric conversion.
This vulnerability is known as CVE-2021-37661. Remote exploitation of the attack is possible. No exploit is available.
It is suggested to upgrade the affected component.
Details
A vulnerability classified as problematic has been found in Google TensorFlow up to 2.3.3/2.4.2/2.5.0 (Artificial Intelligence Software). This affects the function boosted_trees_create_quantile_stream_resource. The manipulation with an unknown input leads to a numeric conversion vulnerability. CWE is classifying the issue as CWE-681. When converting from one data type to another, such as long to integer, data can be omitted or translated in a way that produces unexpected values. If the resulting values are used in a sensitive context, then dangerous behaviors may occur. This is going to have an impact on availability.
The weakness was published 08/13/2021. The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2021-37661. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
Upgrading to version 2.3.4, 2.4.3, 2.5.1 or 2.6.0 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.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Numeric conversionCWE: CWE-681 / CWE-704
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 2.3.4/2.4.3/2.5.1/2.6.0
Patch: github.com
Timeline
07/29/2021 🔍08/13/2021 🔍
08/13/2021 🔍
08/17/2021 🔍
Sources
Vendor: google.comAdvisory: github.com
Status: Confirmed
Confirmation: 🔍
CVE: CVE-2021-37661 (🔍)
GCVE (CVE): GCVE-0-2021-37661
GCVE (VulDB): GCVE-100-180765
Entry
Created: 08/13/2021 07:19Updated: 08/17/2021 18:31
Changes: 08/13/2021 07:19 (40), 08/17/2021 18:23 (3), 08/17/2021 18:31 (1)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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