CVE-2024-20484

Nov. 6, 2024, 6:17 p.m.

7.5
High

Description

A vulnerability in the External Agent Assignment Service (EAAS) feature of Cisco Enterprise Chat and Email (ECE) could allow an unauthenticated, remote attacker to cause a denial of service (DoS) condition on an affected device. This vulnerability is due to insufficient validation of Media Routing Peripheral Interface Manager (MR PIM) traffic that is received by an affected device. An attacker could exploit this vulnerability by sending crafted MR PIM traffic to an affected device. A successful exploit could allow the attacker to trigger a failure on the MR PIM connection between Cisco ECE and Cisco Unified Contact Center Enterprise (CCE), leading to a DoS condition on EAAS that would prevent customers from starting chat, callback, or delayed callback sessions. Note: When the attack traffic stops, the EAAS process must be manually restarted to restore normal operation. To restart the process in the System Console, choose Shared Resources > Services > Unified CCE > EAAS, then click Start.

Product(s) Impacted

Product Versions
Cisco Enterprise Chat and Email (ECE)
  • []

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

CVSS Score

7.5 / 10

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

    View Vector String

Timeline

Published: Nov. 6, 2024, 5:15 p.m.
Last Modified: Nov. 6, 2024, 6:17 p.m.

Status : Awaiting Analysis

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

More info

Source

ykramarz@cisco.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.