Google TensorFlow up to 2.3.3/2.4.2/2.5.0 TFLite Model divide by zero
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Google TensorFlow up to 2.3.3/2.4.2/2.5.0 and classified as problematic. Impacted is an unknown function of the component TFLite Model Handler. This manipulation causes divide by zero. This vulnerability is tracked as CVE-2021-37691. The attack is possible to be carried out remotely. No exploit exists. The affected component should be upgraded.
Details
A vulnerability classified as problematic was found in Google TensorFlow up to 2.3.3/2.4.2/2.5.0 (Artificial Intelligence Software). Affected by this vulnerability is an unknown part of the component TFLite Model Handler. The manipulation with an unknown input leads to a divide by zero vulnerability. The CWE definition for the vulnerability is CWE-369. The product divides a value by zero. As an impact it is known to affect availability.
The weakness was disclosed 08/13/2021. The advisory is shared at github.com. This vulnerability is known as CVE-2021-37691. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
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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| 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-2021-37691 (🔍)
GCVE (CVE): GCVE-0-2021-37691
GCVE (VulDB): GCVE-100-180757
Entry
Created: 08/13/2021 07:12Updated: 08/17/2021 16:29
Changes: 08/13/2021 07:12 (40), 08/17/2021 16:21 (3), 08/17/2021 16:29 (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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