CVE-2025-59964

Oct. 9, 2025, 4:15 p.m.

8.7
High

Description

A Use of Uninitialized Resource vulnerability in the Packet Forwarding Engine (PFE) of Juniper Networks Junos OS on SRX4700 devices allows an unauthenticated, network-based attacker to cause a Denial of Service (DoS). When forwarding-options sampling is enabled, receipt of any traffic destined to the Routing Engine (RE) by the PFE line card leads to an FPC crash and restart, resulting in a Denial of Service (DoS). Continued receipt and processing of any traffic leading to the RE by the PFE line card will create a sustained Denial of Service (DoS) condition to the PFE line card. This issue affects Junos OS on SRX4700:  * from 24.4 before 24.4R1-S3, 24.4R2 This issue affects IPv4 and IPv6.

Product(s) Impacted

Vendor Product Versions
Juniper
  • Junos
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-908
Use of Uninitialized Resource
The product uses or accesses a resource that has not been initialized.

*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
o juniper junos / <24.4R1-S3,24.4R2> / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:Y/R:A/V:C/RE:M/U:Green

    View Vector String

Timeline

Published: Oct. 9, 2025, 4:15 p.m.
Last Modified: Oct. 9, 2025, 4:15 p.m.

Status : Received

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.