Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1 tf.raw_ops.SparseConcat unusual condition
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google TensorFlow up to 2.1.3/2.2.2/2.3.2/2.4.1. It has been rated as problematic. This affects the function tf.raw_ops.SparseConcat. The manipulation leads to unusual condition.
This vulnerability is listed as CVE-2021-29534. The attack may be initiated remotely. There is no available exploit.
Upgrading the affected component is advised.
Details
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 (Artificial Intelligence Software). This issue affects the function tf.raw_ops.SparseConcat. The manipulation with an unknown input leads to a unusual condition vulnerability. Using CWE to declare the problem leads to CWE-754. The product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product. Impacted is availability.
The weakness was presented 05/15/2021. The advisory is shared at github.com. The identification of this vulnerability is CVE-2021-29534. 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: 4.9VulDB Meta Temp Score: 4.8
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.5
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: Unusual conditionCWE: CWE-754
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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| 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-2021-29534 (🔍)
GCVE (CVE): GCVE-0-2021-29534
GCVE (VulDB): GCVE-100-175133
Entry
Created: 05/15/2021 08:49Updated: 05/19/2021 07:42
Changes: 05/15/2021 08:49 (40), 05/19/2021 07:36 (6), 05/19/2021 07:42 (19)
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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