CVE-2025-26336

March 21, 2025, 3:15 a.m.

8.3
High

Description

Dell Chassis Management Controller Firmware for Dell PowerEdge FX2, version(s) prior to 2.40.200.202101130302, and Dell Chassis Management Controller Firmware for Dell PowerEdge VRTX version(s) prior to 3.41.200.202209300499, contain(s) a Stack-based Buffer Overflow vulnerability. An unauthenticated attacker with remote access could potentially exploit this vulnerability, leading to Remote execution.

Product(s) Impacted

Vendor Product Versions
Dell
  • Chassis Management Controller
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-121
Stack-based Buffer Overflow
A stack-based buffer overflow condition is a condition where the buffer being overwritten is allocated on the stack (i.e., is a local variable or, rarely, a parameter to a function).

*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 dell chassis_management_controller / <2.40.200.202101130302 / / / / / /
a dell chassis_management_controller / <3.41.200.202209300499 / / / / / /

References

https://www.dell.com/support/kbdoc/en-us/000297463/dsa-2025-123-security-update-for-dell-chassis-management-controller-firmware-for-dell-poweredge-fx2-and-vrtx-vulnerabilities

Tags

security_alert@emc.com
CWE-121
2025-03-21
CVE-2025-26336

CVSS Score

8.3 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: LOW
  • Availability Impact: HIGH

    • CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:L/A:H

    View Vector String

Timeline

Published: March 21, 2025, 3:15 a.m.
Last Modified: March 21, 2025, 3:15 a.m.

Status : Undergoing Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security_alert@emc.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.