8.8
HIGH CVSS 3.1
CVE-2026-49498
Ghidra 11.0 < 12.1 - SQL Injection in PostgreSQL Password Change via Unescaped Username
Description

Ghidra 11.0 before 12.1 contains a SQL injection vulnerability in the changePassword() method of PostgresFunctionDatabase that fails to escape double quotes in usernames interpolated into ALTER ROLE statements. Authenticated attackers can inject SQL commands via crafted username parameters in PasswordChange network messages to escalate to PostgreSQL superuser privileges and gain full database control.

INFO

Published Date :

June 10, 2026, 12:38 p.m.

Last Modified :

June 10, 2026, 12:38 p.m.

Remotely Exploit :

Yes !

Source :

VulnCheck
Affected Products

The following products are affected by CVE-2026-49498 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 HIGH 83251b91-4cc7-4094-a5c7-464a1b83ea10
CVSS 4.0 HIGH 83251b91-4cc7-4094-a5c7-464a1b83ea10
Solution
Update Ghidra to version 11.0.1 or later to fix SQL injection.
  • Update Ghidra to version 11.0.1 or later.
  • Apply vendor patches when available.
  • Sanitize all user inputs.
  • Use parameterized queries.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-49498 vulnerability anywhere in the article.

EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.