CVE-2024-9409
Nov. 19, 2024, 3:59 p.m.
7.5
High
Description
CWE-400: An Uncontrolled Resource Consumption vulnerability exists that could cause the device to become
unresponsive resulting in communication loss when a large amount of IGMP packets is present in the network.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Schneider-electric |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-400
Uncontrolled Resource Consumption
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.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| o | schneider-electric | powerlogic_pm5341_firmware | / | / | / | / | / | / | / | / |
| h | schneider-electric | powerlogic_pm5341 | - | / | / | / | / | / | / | / |
| o | schneider-electric | powerlogic_pm5340_firmware | / | / | / | / | / | / | / | / |
| h | schneider-electric | powerlogic_pm5340 | - | / | / | / | / | / | / | / |
| o | schneider-electric | powerlogic_pm5320_firmware | / | / | / | / | / | / | / | / |
| h | schneider-electric | powerlogic_pm5320 | - | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Timeline
Published: Nov. 13, 2024, 5:15 a.m.
Last Modified: Nov. 19, 2024, 3:59 p.m.
Last Modified: Nov. 19, 2024, 3:59 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
cybersecurity@se.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.