CVE-2026-0264

May 13, 2026, 6:17 p.m.

7.2
High

Description

A buffer overflow vulnerability in the DNS proxy and DNS Server features of Palo Alto Networks PAN-OS® Software allows an unauthenticated attacker with network access to cause a denial of service (DoS) condition (all PAN-OS platforms except Cloud NGFW and Prisma Access) or potentially execute arbitrary code by sending specially crafted network traffic (PA-Series hardware only). Panorama, Cloud NGFW, and Prisma® Access are not impacted by this vulnerability.

Product(s) Impacted

Vendor Product Versions
Palo Alto Networks
  • Pan-os
  • Pa-series
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-122
Heap-based Buffer Overflow
A heap overflow condition is a buffer overflow, where the buffer that can be overwritten is allocated in the heap portion of memory, generally meaning that the buffer was allocated using a routine such as malloc().

*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 palo_alto_networks pan-os / / / / / / / /
h palo_alto_networks pa-series / / / / / / / /

CVSS Score

7.2 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: UNREPORTED
  • CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:N/E:U/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:U/V:C/RE:H/U:Red

    View Vector String

Timeline

Published: May 13, 2026, 6:16 p.m.
Last Modified: May 13, 2026, 6:17 p.m.

Status : Awaiting Analysis

CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.

More info

*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.