CVE-2024-54021
Feb. 3, 2025, 10:04 p.m.
6.5
Medium
Description
An improper neutralization of crlf sequences in http headers ('http response splitting') in Fortinet FortiOS 7.2.0 through 7.6.0, FortiProxy 7.2.0 through 7.4.5 allows attacker to execute unauthorized code or commands via crafted HTTP header.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Fortinet |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-113
Improper Neutralization of CRLF Sequences in HTTP Headers ('HTTP Request/Response Splitting')
The product receives data from an HTTP agent/component (e.g., web server, proxy, browser, etc.), but it does not neutralize or incorrectly neutralizes CR and LF characters before the data is included in outgoing HTTP headers.
CWE-436
Interpretation Conflict
Product A handles inputs or steps differently than Product B, which causes A to perform incorrect actions based on its perception of B's state.
*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 | fortinet | fortiproxy | / | / | / | / | / | / | / | / |
| a | fortinet | fortiproxy | / | / | / | / | / | / | / | / |
| o | fortinet | fortios | / | / | / | / | / | / | / | / |
| o | fortinet | fortios | / | / | / | / | / | / | / | / |
| o | fortinet | fortios | 7.6.0 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: LOW
- Availability Impact: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:L
Timeline
Published: Jan. 14, 2025, 2:15 p.m.
Last Modified: Feb. 3, 2025, 10:04 p.m.
Last Modified: Feb. 3, 2025, 10:04 p.m.
Status : Analyzed
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
psirt@fortinet.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.