CVE-2024-47503

Oct. 15, 2024, 12:58 p.m.

6.5
Medium

Description

An Improper Check for Unusual or Exceptional Conditions vulnerability in the flow processing daemon (flowd) of Juniper Networks Junos OS on SRX4600 and SRX5000 Series allows an unauthenticated and logically adjacent attacker to cause a Denial-of-Service (DoS). If in a multicast scenario a sequence of specific PIM packets is received, this will cause a flowd crash and restart, which leads to momentary service interruption. This issue affects Junos OS on SRX 4600 and SRX 5000 Series: * All versions before 21.4R3-S9, * 22.2 versions before 22.2R3-S5, * 22.3 versions before 22.3R3-S4, * 22.4 versions before 22.4R3-S4, * 23.2 versions before 23.2R2-S2, * 23.4 versions before 23.4R2,  * 24.2 versions before 24.2R1-S1, 24.2R2.

Product(s) Impacted

Product Versions
Juniper Networks Junos OS on SRX4600 and SRX5000 Series
  • ['All versions before 21.4R3-S9', '22.2 versions before 22.2R3-S5', '22.3 versions before 22.3R3-S4', '22.4 versions before 22.4R3-S4', '23.2 versions before 23.2R2-S2', '23.4 versions before 23.4R2', '24.2 versions before 24.2R1-S1, 24.2R2']

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-754
Improper Check for Unusual or Exceptional Conditions
The product does not check or incorrectly checks for unusual or exceptional conditions that are not expected to occur frequently during day to day operation of the product.

CVSS Score

6.5 / 10

CVSS Data - 3.1

  • Attack Vector: ADJACENT_NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

    View Vector String

Timeline

Published: Oct. 11, 2024, 4:15 p.m.
Last Modified: Oct. 15, 2024, 12:58 p.m.

Status : Awaiting Analysis

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

More info

Source

sirt@juniper.net

*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.