CVE-2026-7070
SQL Injection in Inventory Management System 1.0 Login Component
Publication date: 2026-04-27
Last updated on: 2026-04-29
Assigner: VulDB
Description
Description
CVSS Scores
EPSS Scores
| Probability: | |
| Percentile: |
Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| code-projects | inventory_management_system | 1.0 |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-74 | The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. |
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?
CVE-2026-7070 is an SQL injection vulnerability in the Inventory Management System 1.0, specifically in the login component. The system does not properly filter or sanitize the username and password inputs before querying the database to verify user accounts. This allows an attacker to inject malicious SQL code into the login fields.
For example, an attacker can use a known username like "admin" and input a crafted password such as `admin'--` to bypass authentication and log in without knowing the actual password. This exploit enables unauthorized access to the system.
How can this vulnerability impact me? :
This vulnerability can allow an attacker to gain unauthorized access to the Inventory Management System by bypassing the login authentication. Once inside, the attacker could potentially access sensitive information or perform actions as an authenticated user.
Although the proof of concept shows that the database remains unchanged after the exploit, unauthorized access itself poses significant security risks including data exposure and potential further exploitation.
How can this vulnerability be detected on my network or system? Can you suggest some commands?
This vulnerability can be detected by attempting SQL injection attacks on the login interface, specifically targeting the username and password fields.
A common test is to try logging in with a known username such as "admin" and a crafted password like `admin'--` which exploits the SQL injection flaw to bypass authentication.
If the login succeeds without the correct password, it indicates the presence of the vulnerability.
- Use curl or similar tools to send POST requests to the login endpoint with payloads such as username=admin and password=admin'--
- Example curl command: curl -X POST -d "username=admin&password=admin'--" http://targetsite/index.php
What immediate steps should I take to mitigate this vulnerability?
Immediate mitigation steps include implementing proper input validation and sanitization on the username and password fields to prevent SQL injection.
Use prepared statements or parameterized queries in the code to safely handle user inputs.
Restrict direct database queries with user input and apply least privilege principles to database accounts.
If possible, temporarily disable remote login access or restrict it via firewall rules until a patch or fix is applied.
How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:
The CVE-2026-7070 vulnerability allows unauthorized access to the Inventory Management System by exploiting an SQL injection flaw in the login mechanism. This unauthorized access can lead to potential exposure or misuse of sensitive data stored within the system.
Such unauthorized access and potential data breaches can negatively impact compliance with common standards and regulations like GDPR and HIPAA, which require protection of personal and sensitive information against unauthorized access and breaches.
Therefore, if exploited, this vulnerability could result in violations of these regulations due to compromised confidentiality, integrity, and availability of protected data.