Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 TFLite Operator maximum_minimum.h out-of-bounds
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
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. Affected is an unknown function of the file lite/kernels/internal/reference/maximum_minimum.h of the component TFLite Operator Handler. This manipulation causes out-of-bounds. This vulnerability is handled as CVE-2021-29590. The attack can be initiated remotely. There is not any exploit available. It is advisable to upgrade the affected component.
Details
A vulnerability classified as problematic was found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 (Artificial Intelligence Software). Affected by this vulnerability is an unknown functionality of the file lite/kernels/internal/reference/maximum_minimum.h of the component TFLite Operator Handler. 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 availability.
The weakness was released 05/15/2021. The advisory is shared at github.com. This vulnerability is known as CVE-2021-29590. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available.
Upgrading to version 2.1.4, 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.
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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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Out-of-boundsCWE: CWE-125 / 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-2021-29590 (🔍)
GCVE (CVE): GCVE-0-2021-29590
GCVE (VulDB): GCVE-100-175141
Entry
Created: 05/15/2021 09:12Updated: 05/19/2021 08:40
Changes: 05/15/2021 09:12 (41), 05/19/2021 08:36 (6), 05/19/2021 08:40 (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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