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Vulnerability Database/CVE-2025-12933

CVE-2025-12933: Janobe Baby Care System SQLi Vulnerability

CVE-2025-12933 is a SQL injection flaw in Janobe Baby Care System 1.0 affecting the updatewelcome.php file. Attackers can exploit the roleid parameter remotely. This article covers technical details, impact, and mitigation.

Updated:

CVE-2025-12933 Overview

CVE-2025-12933 is a SQL injection vulnerability in SourceCodester Baby Care System 1.0, a PHP-based web application also distributed under the Janobe brand. The flaw resides in /updatewelcome.php?id=siteoptions&action=welcome, where the roleid parameter is concatenated into a database query without sanitization. An authenticated remote attacker can manipulate the parameter to inject arbitrary SQL statements. Public proof-of-concept details have been disclosed, increasing the likelihood of opportunistic exploitation against exposed instances. The issue is tracked under CWE-89: SQL Injection and CWE-74: Improper Neutralization.

Critical Impact

Authenticated attackers can read, modify, or delete database records by injecting SQL through the roleid parameter, exposing application data and integrity.

Affected Products

  • SourceCodester Baby Care System 1.0
  • Janobe Baby Care System 1.0
  • Vulnerable component: /updatewelcome.php (roleid parameter)

Discovery Timeline

  • 2025-11-10 - CVE-2025-12933 published to the National Vulnerability Database (NVD)
  • 2026-04-29 - Last updated in NVD database

Technical Details for CVE-2025-12933

Vulnerability Analysis

The vulnerability occurs in the updatewelcome.php script when processing site option updates. The application passes the roleid request parameter directly into a SQL statement without parameterization or input validation. Because the endpoint accepts attacker-supplied data over the network and reflects it into the query layer, an actor with low privileges can inject SQL syntax to alter query logic.

The attack requires only standard HTTP access to the application and a valid low-privilege session. No user interaction is necessary. Successful exploitation can yield unauthorized read access to administrative records, modification of role assignments, and tampering with welcome page configuration data.

Root Cause

The root cause is improper neutralization of special elements used in a SQL command [CWE-89]. The roleid argument is interpolated into the query string rather than passed as a bound parameter. Standard defenses such as prepared statements, type casting, or allowlist validation are absent in the vulnerable code path. The underlying weakness class is [CWE-74], reflecting broader injection failures in the input-handling layer.

Attack Vector

An attacker authenticates to the application with any role that can reach /updatewelcome.php?id=siteoptions&action=welcome. The attacker then sends a crafted request that appends SQL clauses such as UNION SELECT or boolean payloads to the roleid value. The backend MySQL/MariaDB instance executes the injected statement under the application's database user. Public exploit details referenced in the GitHub Issue for CVE-8 describe parameter manipulation against this endpoint.

No verified exploit code is reproduced here. Refer to the linked references for technical specifics.

Detection Methods for CVE-2025-12933

Indicators of Compromise

  • HTTP requests to /updatewelcome.php containing SQL meta-characters such as ', --, UNION, SLEEP(, or INFORMATION_SCHEMA in the roleid parameter.
  • Web server access logs showing repeated GET or POST requests to updatewelcome.php?id=siteoptions&action=welcome from the same source IP.
  • Database error messages or unusual query latency originating from the Baby Care System application user.

Detection Strategies

  • Deploy web application firewall (WAF) rules that inspect the roleid query parameter for SQL keywords and tautology patterns.
  • Enable MySQL general query logging and alert on queries referencing roleid that contain UNION, SELECT, or comment delimiters from the application account.
  • Correlate authenticated session activity with anomalous query volume or response size deviations from the updatewelcome.php endpoint.

Monitoring Recommendations

  • Forward web server, PHP error, and database logs to a centralized SIEM for cross-source correlation.
  • Baseline expected request parameters for updatewelcome.php and alert on deviations.
  • Monitor outbound connections from the database host that could indicate exfiltration following successful injection.

How to Mitigate CVE-2025-12933

Immediate Actions Required

  • Restrict network access to the Baby Care System application to trusted users until a patched build is deployed.
  • Revoke unnecessary application accounts and rotate credentials for the database user backing the application.
  • Inspect database tables associated with site options and role management for unauthorized modifications.

Patch Information

No official vendor patch has been published for SourceCodester Baby Care System 1.0 at the time of NVD publication. Administrators should consult the SourceCodester project page and the VulDB advisory for updates. Where source modification is feasible, replace concatenated queries in updatewelcome.php with parameterized statements using PDO or mysqli prepared statements and enforce integer casting on roleid.

Workarounds

  • Place the application behind a WAF with signatures blocking SQL injection patterns targeting the roleid parameter.
  • Apply server-side input validation that rejects any roleid value that is not a positive integer.
  • Limit the database account used by the application to least-privilege rights, removing DROP, ALTER, and FILE permissions.
  • Disable or remove the /updatewelcome.php endpoint if the welcome customization feature is not in use.
bash
# Example ModSecurity rule to block SQLi attempts on the vulnerable parameter
SecRule ARGS:roleid "@rx (?i)(union(.*?)select|sleep\(|--|;|/\*)" \
    "id:1009331,phase:2,deny,status:403,\
    msg:'CVE-2025-12933 - SQLi attempt against updatewelcome.php roleid'"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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