Source: cna@vuldb.com
A vulnerability was detected in PKrystian Full-Stack-Bank up to bf73a0179e3ff07c0d7dc35297cea0be0e5b1317. This vulnerability affects unknown code of the component User Handler. Performing manipulation results in sql injection. It is possible to initiate the attack remotely. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The patch is named 25c9965a872c704f3a9475488dc5d3196902199a. It is suggested to install a patch to address this issue.
PKrystian Full-Stack-Bank is vulnerable to a critical SQL injection vulnerability in the User Handler component, allowing remote attackers to compromise the application's database. This vulnerability, stemming from improper input validation, could lead to data breaches, account takeover, and complete system control. Immediate patching is crucial to mitigate this severe risk.
Step 1: Input Injection: The attacker crafts a malicious payload containing SQL code designed to manipulate the database query. This payload is typically injected into a field such as a username, password, or other user-provided input field handled by the User Handler component.
Step 2: Request Submission: The attacker submits the crafted input to the vulnerable application, likely through a web form or API endpoint.
Step 3: Query Construction: The application, due to the lack of input validation, incorporates the attacker's input directly into an SQL query. The User Handler is responsible for this query construction.
Step 4: Query Execution: The database server executes the modified SQL query, including the attacker's injected code. This could lead to various malicious actions.
Step 5: Exploitation: The attacker leverages the executed SQL code to achieve their objectives. This could include reading sensitive data, modifying database records, or even gaining administrative access to the system.
The vulnerability lies within the User Handler component of PKrystian Full-Stack-Bank. The root cause is a failure to properly sanitize user-supplied input before incorporating it into SQL queries. Specifically, the application likely constructs SQL queries dynamically based on user input, such as usernames or passwords, without adequate filtering or escaping. This allows an attacker to inject malicious SQL code through specially crafted input, which is then executed by the database. The lack of versioning and the rolling release model complicates identifying specific vulnerable versions, making the patch application a critical, albeit potentially disruptive, task.
While no specific APTs or malware are directly linked to this CVE at this time, SQL injection is a widely known and frequently exploited attack vector. Attackers of varying skill levels could leverage this vulnerability. This vulnerability is not currently listed on the CISA KEV.
Web Application Firewall (WAF) logs showing suspicious SQL syntax in user input, such as single quotes, semicolons, and SQL keywords (e.g., SELECT, INSERT, UPDATE, DELETE).
Database server logs indicating unusual query activity, including unexpected errors or queries that appear to be injected.
Network traffic analysis revealing unusual HTTP requests with potentially malicious payloads in POST or GET parameters.
Intrusion Detection System (IDS) alerts triggered by SQL injection signatures.
Reviewing application logs for any errors or unexpected behavior related to user input processing, especially within the User Handler component.
Apply the provided patch (25c9965a872c704f3a9475488dc5d3196902199a) immediately. Since the product uses a rolling release, this is the only available remediation.
Implement parameterized queries or prepared statements to prevent SQL injection. This ensures that user input is treated as data, not as executable code.
Perform thorough input validation and sanitization on all user-supplied data. This includes filtering out or escaping special characters that could be used in SQL injection attacks.
Implement a Web Application Firewall (WAF) to detect and block malicious SQL injection attempts.
Regularly scan the application for vulnerabilities using static and dynamic analysis tools.
Follow the principle of least privilege for database accounts. Limit the permissions of database users to only what is necessary for their tasks.
Monitor database activity for suspicious behavior and unusual queries.