Google TensorFlow up to 2.3.3/2.4.2/2.5.0 TFLite divide by zero
| 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 2.3.3/2.4.2/2.5.0. This vulnerability affects unknown code of the component TFLite. The manipulation leads to divide by zero. This vulnerability is referenced as CVE-2021-37683. Remote exploitation of the attack is possible. No exploit is available. It is advisable to upgrade the affected component.
Details
A vulnerability was found in Google TensorFlow up to 2.3.3/2.4.2/2.5.0 (Artificial Intelligence Software). It has been rated as problematic. This issue affects an unknown functionality of the component TFLite. The manipulation with an unknown input leads to a divide by zero vulnerability. Using CWE to declare the problem leads to CWE-369. The product divides a value by zero. Impacted is availability.
The weakness was published 08/13/2021. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2021-37683. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
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.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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: Divide by zeroCWE: CWE-369 / 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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| 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-2021-37683 (🔍)
GCVE (CVE): GCVE-0-2021-37683
GCVE (VulDB): GCVE-100-180755
Entry
Created: 08/13/2021 07:11Updated: 08/17/2021 15:59
Changes: 08/13/2021 07:11 (40), 08/17/2021 15:53 (3), 08/17/2021 15:59 (1)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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