CVE-2024-43499
Nov. 19, 2024, 7:59 p.m.
7.5
High
Description
.NET and Visual Studio Denial of Service Vulnerability
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Microsoft |
|
|
| Apple |
|
|
| Linux |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-409
Improper Handling of Highly Compressed Data (Data Amplification)
The product does not handle or incorrectly handles a compressed input with a very high compression ratio that produces a large output.
CWE-606
Unchecked Input for Loop Condition
The product does not properly check inputs that are used for loop conditions, potentially leading to a denial of service or other consequences because of excessive looping.
*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 |
|---|---|---|---|---|---|---|---|---|---|---|
| a | microsoft | .net | 9.0.0 | / | / | / | / | / | / | / |
| o | apple | macos | - | / | / | / | / | / | / | / |
| o | linux | linux_kernel | - | / | / | / | / | / | / | / |
| o | microsoft | windows | - | / | / | / | / | / | / | / |
| a | microsoft | visual_studio_2022 | / | / | / | / | / | / | / | / |
| a | microsoft | visual_studio_2022 | / | / | / | / | / | / | / | / |
| a | microsoft | visual_studio_2022 | / | / | / | / | / | / | / | / |
| a | microsoft | visual_studio_2022 | / | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
View Vector String
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Date
- Published: Nov. 12, 2024, 6:15 p.m.
- Last Modified: Nov. 19, 2024, 7:59 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
secure@microsoft.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.