CVE-2026-52750

June 10, 2026, 2:16 p.m.

8.4
High

Description

Ghidra before 12.1 contains a command injection vulnerability in URL annotation handling on Windows where cmd.exe metacharacters are not properly escaped. Attackers can execute arbitrary commands under the Ghidra user's privileges by embedding malicious URLs in program comments that victims click.

Product(s) Impacted

Vendor Product Versions
Ghidra
  • Ghidra
  • <12.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-88
Improper Neutralization of Argument Delimiters in a Command ('Argument Injection')
The product constructs a string for a command to be executed by a separate component in another control sphere, but it does not properly delimit the intended arguments, options, or switches within that command string.

*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 ghidra ghidra <12.1 / / / / / / /

References

https://github.com/NationalSecurityAgency/ghidra/security/advisories/GHSA-5c38-3rf3-gp75
https://www.vulncheck.com/advisories/ghidra-command-injection-via-url-annotation-click

Tags

CWE-88
[email protected]
2026-06-10
CVE-2026-52750

CVSS Score

8.4 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: ACTIVE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED

    • CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/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:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: June 10, 2026, 2:16 p.m.
Last Modified: June 10, 2026, 2:16 p.m.

Status : Received

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

More info

Source

[email protected]

*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.