Google TensorFlow up to 2.6.3/2.7.1/2.8.0 tf.ragged.constant resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability classified as problematic was found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0. This affects the function tf.ragged.constant. Executing a manipulation can lead to resource consumption.
The identification of this vulnerability is CVE-2022-29202. The attack may be launched remotely. There is no exploit available.
Upgrading the affected component is advised.
Details
A vulnerability classified as problematic was found in Google TensorFlow up to 2.6.3/2.7.1/2.8.0 (Artificial Intelligence Software). This vulnerability affects the function tf.ragged.constant. The manipulation with an unknown input leads to a resource consumption vulnerability. The CWE definition for the vulnerability is CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. As an impact it is known to affect availability.
The weakness was shared 05/22/2022 as GHSA-cwpm-f78v-7m5c. The advisory is available at github.com. This vulnerability was named CVE-2022-29202 since 04/13/2022. Successful exploitation requires user interaction by the victim. Technical details are known, but there is no available exploit. This vulnerability is assigned to T1499 by the MITRE ATT&CK project.
Upgrading to version 2.6.4, 2.7.2, 2.8.1 or 2.9.0 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying the patch bd4d5583ff9c8df26d47a23e508208844297310e 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.
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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: 4.2
VulDB Base Score: 3.1
VulDB Temp Score: 3.0
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 5.5
CNA Vector (GitHub, Inc.): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: Partially
Local: Yes
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: TensorFlow 2.6.4/2.7.2/2.8.1/2.9.0
Patch: bd4d5583ff9c8df26d47a23e508208844297310e
Timeline
04/13/2022 🔍05/22/2022 🔍
05/22/2022 🔍
05/27/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-cwpm-f78v-7m5c
Status: Confirmed
CVE: CVE-2022-29202 (🔍)
GCVE (CVE): GCVE-0-2022-29202
GCVE (VulDB): GCVE-100-200494
Entry
Created: 05/22/2022 05:09Updated: 05/27/2022 13:35
Changes: 05/22/2022 05:09 (54), 05/27/2022 13:35 (1)
Complete: 🔍
Cache ID: 216::103
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