Google Tensorflow up to 2.5.2/2.6.2/2.7.0 GraphDef resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 6.3 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0. It has been declared as problematic. This impacts an unknown function. The manipulation of the argument GraphDef results in resource consumption. This vulnerability is identified as CVE-2022-23591. The attack can be executed remotely. There is not any exploit available. It is recommended to upgrade the affected component.
Details
A vulnerability classified as problematic has been found in Google Tensorflow up to 2.5.2/2.6.2/2.7.0 (Artificial Intelligence Software). Affected is some unknown processing. The manipulation of the argument GraphDef with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as 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. This is going to have an impact on availability.
The weakness was released 02/05/2022 as GHSA-247x-2f9f-5wp7. The advisory is available at github.com. This vulnerability is traded as CVE-2022-23591 since 01/19/2022. 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 2.5.3, 2.6.3, 2.7.1 or 2.8.0 eliminates this vulnerability. Applying the patch 448a16182065bd08a202d9057dd8ca541e67996c 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: 6.4VulDB Meta Temp Score: 6.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 7.5
CNA Vector (GitHub, Inc.): 🔍
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: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
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 2.5.3/2.6.3/2.7.1/2.8.0
Patch: 448a16182065bd08a202d9057dd8ca541e67996c
Timeline
01/19/2022 🔍02/05/2022 🔍
02/05/2022 🔍
02/07/2022 🔍
Sources
Vendor: google.comAdvisory: GHSA-247x-2f9f-5wp7
Status: Confirmed
CVE: CVE-2022-23591 (🔍)
GCVE (CVE): GCVE-0-2022-23591
GCVE (VulDB): GCVE-100-192366
Entry
Created: 02/05/2022 08:49Updated: 02/07/2022 13:26
Changes: 02/05/2022 08:49 (53), 02/07/2022 13:26 (1)
Complete: 🔍
Cache ID: 216::103
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