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CVE Vulnerability Database

CVE-2024-8784: Qdocs Smart School SQL Injection Flaw

CVE-2024-8784 is a critical SQL injection vulnerability in Qdocs Smart School Management System 7.0.0 affecting the chat functionality. This article covers technical details, affected versions, security impact, and mitigation.

Published:

CVE-2024-8784 Overview

CVE-2024-8784 is a time-based blind SQL injection vulnerability in QDocs Smart School Management System 7.0.0. The flaw resides in the Chat component, specifically the /user/chat/mynewuser endpoint. Attackers can manipulate the users[] POST parameter to inject arbitrary SQL statements into the backend database query.

The vulnerability is remotely exploitable and requires only low-privileged authenticated access. Public disclosure of the exploit technique has occurred, increasing the risk to unpatched deployments. QDocs addressed the issue in Smart School version 7.0.1.

Critical Impact

Authenticated attackers can extract sensitive database contents, including student records, staff credentials, and financial data managed by the school management platform.

Affected Products

  • QDocs Smart School Management System 7.0.0
  • Deployments using the Chat component endpoint /user/chat/mynewuser
  • CPE: cpe:2.3:a:qdocs:smart_school:7.0.0:*:*:*:*:*:*:*

Discovery Timeline

  • 2024-09-13 - CVE-2024-8784 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2024-8784

Vulnerability Analysis

The vulnerability is a classic SQL injection flaw classified under CWE-89. The Chat component in Smart School 7.0.0 accepts a users[] array parameter via POST request to /user/chat/mynewuser. The application concatenates this input directly into a SQL query without parameterization or sanitization.

Because the injection point returns no direct output, exploitation relies on time-based blind techniques. Attackers use payloads such as 1' AND (SELECT 3220 FROM (SELECT(SLEEP(5)))ZNun) AND 'WwBM'='WwBM to infer database contents from response delays. Each successful SLEEP() invocation confirms a boolean condition against the database.

Successful exploitation allows extraction of arbitrary data from the underlying MySQL database. This includes user credentials, session identifiers, academic records, and administrative configuration data stored by the school management application.

Root Cause

The root cause is improper neutralization of special elements used in a SQL command. The application fails to validate or bind the users[] array parameter before including it in a database query. Absence of prepared statements or ORM parameterization allows attacker-controlled strings to alter query structure.

Attack Vector

The attack is executed over the network by an authenticated user with low-level privileges. An attacker sends a crafted POST request to /user/chat/mynewuser containing a malicious users[] value. The server's delayed response confirms injection success and enables systematic data extraction through repeated boolean queries.

See the GitHub SQL Injection Advisory for the complete technical write-up of the exploitation chain.

Detection Methods for CVE-2024-8784

Indicators of Compromise

  • POST requests to /user/chat/mynewuser containing SQL keywords such as SLEEP, SELECT, AND, or UNION inside the users[] parameter.
  • HTTP requests to the chat endpoint with response times exceeding normal baselines by 5 or more seconds.
  • Web server access logs showing repeated identical POST requests from a single source targeting the chat module.

Detection Strategies

  • Deploy web application firewall (WAF) rules that identify SQL injection signatures in POST body parameters, with particular attention to array parameters like users[].
  • Correlate authenticated user sessions with anomalous query patterns against the /user/chat/ URI space.
  • Monitor database logs for query patterns containing SLEEP(), BENCHMARK(), or nested SELECT subqueries originating from the application account.

Monitoring Recommendations

  • Establish response-time baselines for the chat endpoints and alert on statistical outliers.
  • Enable MySQL general query logging temporarily to identify malformed queries containing injected clauses.
  • Track authentication events preceding suspicious chat POST requests to identify compromised or malicious low-privilege accounts.

How to Mitigate CVE-2024-8784

Immediate Actions Required

  • Upgrade QDocs Smart School Management System from version 7.0.0 to version 7.0.1 or later as documented in the Smart School Version Update release notes.
  • Audit web server and database logs for prior exploitation attempts against the /user/chat/mynewuser endpoint.
  • Rotate credentials and session tokens if evidence of exploitation is found.

Patch Information

QDocs released Smart School version 7.0.1 to remediate this vulnerability. Administrators should apply the vendor upgrade following the guidance published on the official Smart School update page. Additional advisory context is available at VulDB #277435.

Workarounds

  • Restrict access to the chat module via network-level controls until the patch is applied, limiting exposure to trusted internal networks.
  • Deploy a WAF rule blocking POST requests to /user/chat/mynewuser where the users[] parameter contains SQL metacharacters such as single quotes, parentheses, or SQL keywords.
  • Enforce database account least-privilege so the web application connection cannot access unrelated schemas or execute administrative statements.
bash
# Example ModSecurity rule to block SQL injection in the vulnerable parameter
SecRule ARGS:'users[]' "@rx (?i)(sleep\s*\(|union\s+select|benchmark\s*\(|--|/\*)" \
    "id:1008784,phase:2,deny,status:403,\
    msg:'CVE-2024-8784: SQL injection attempt on QDocs Smart School chat endpoint',\
    tag:'CWE-89'"

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

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