The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • AI Data Pipelines
      Security Data Pipeline for AI SIEM and Data Optimization
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2024-2927

CVE-2024-2927: Anisha Mobile Shop SQL Injection Flaw

CVE-2024-2927 is a critical SQL injection vulnerability in Anisha Mobile Shop 1.0 affecting the Details.php file. Attackers can exploit the id parameter remotely. This article covers technical details, impact, and mitigation.

Published: April 15, 2026

CVE-2024-2927 Overview

A critical SQL injection vulnerability has been identified in code-projects Mobile Shop version 1.0. The vulnerability exists within the Details.php file of the Login Page component, where the id parameter is not properly sanitized before being used in database queries. This allows remote attackers to inject malicious SQL statements, potentially compromising the entire database and application security.

Critical Impact

Remote attackers can exploit this SQL injection vulnerability without authentication to extract sensitive data, modify database contents, or potentially achieve full system compromise through database server exploitation.

Affected Products

  • Anisha Mobile Shop version 1.0
  • code-projects Mobile Shop 1.0 (Login Page component)
  • Details.php file handling the id parameter

Discovery Timeline

  • 2024-03-26 - CVE-2024-2927 published to NVD
  • 2025-02-20 - Last updated in NVD database

Technical Details for CVE-2024-2927

Vulnerability Analysis

This SQL injection vulnerability occurs in the Details.php file within the Login Page component of the Mobile Shop application. The vulnerable code accepts user-supplied input through the id parameter without implementing proper input validation or parameterized queries. When a user submits a request containing the id parameter, the application directly incorporates this value into SQL query construction, creating a classic injection point.

The attack can be executed remotely over the network with no prerequisites—attackers require no prior authentication or special privileges to exploit this flaw. Successful exploitation enables attackers to manipulate database queries to achieve unauthorized data access, data modification, or in severe cases, command execution on the underlying database server. The exploit for this vulnerability has been publicly disclosed, increasing the risk of active exploitation.

Root Cause

The root cause of CVE-2024-2927 is improper input validation and the absence of parameterized queries (prepared statements) in the Details.php file. The application directly concatenates user-supplied input from the id parameter into SQL queries without sanitization, escaping, or type validation. This violates secure coding practices outlined in CWE-89 (Improper Neutralization of Special Elements used in an SQL Command).

Attack Vector

The attack vector is network-based, allowing remote exploitation without any user interaction. An attacker can craft malicious HTTP requests targeting the Details.php endpoint with specially crafted id parameter values containing SQL syntax. These payloads can include UNION-based injection techniques to extract data from other tables, boolean-based blind injection to enumerate database contents character by character, or time-based blind injection using database delay functions.

The vulnerability allows attackers to bypass authentication mechanisms, extract customer data and credentials, modify or delete database records, and potentially escalate privileges within the database server depending on the configuration.

Detection Methods for CVE-2024-2927

Indicators of Compromise

  • Unusual or malformed values in the id parameter within web server access logs (e.g., single quotes, SQL keywords like UNION, SELECT, OR 1=1)
  • Unexpected database errors or exceptions in application logs
  • Anomalous database query patterns or spikes in query volume
  • Database audit logs showing unauthorized data access or schema enumeration attempts

Detection Strategies

  • Implement Web Application Firewall (WAF) rules to detect and block SQL injection patterns in request parameters
  • Monitor application logs for error messages indicating SQL syntax errors or database connection issues
  • Deploy database activity monitoring to detect unusual query patterns or privilege escalation attempts
  • Configure intrusion detection systems (IDS) with signatures for common SQL injection payloads targeting PHP applications

Monitoring Recommendations

  • Enable detailed logging for the Details.php endpoint and all database queries
  • Set up alerts for patterns matching SQL injection attempts such as ', --, UNION, SELECT, or 1=1 in request parameters
  • Monitor database query execution times for anomalies indicating time-based blind injection attempts
  • Review authentication logs for unauthorized access following potential injection attacks

How to Mitigate CVE-2024-2927

Immediate Actions Required

  • Restrict network access to the Mobile Shop application until patching is complete
  • Implement Web Application Firewall (WAF) rules to filter SQL injection attempts targeting the id parameter
  • Review and audit database logs for any signs of prior exploitation
  • Consider taking the affected Details.php page offline temporarily if feasible

Patch Information

No official vendor patch has been published for this vulnerability at the time of writing. Organizations using Anisha Mobile Shop 1.0 should monitor the VulDB entry for updates and consider implementing application-level fixes or migrating to alternative software. The vulnerability has been tracked under VDB-258000.

Workarounds

  • Implement prepared statements (parameterized queries) in Details.php to properly handle the id parameter
  • Add strict input validation to ensure the id parameter only accepts expected integer values
  • Deploy a WAF with SQL injection protection rules in front of the application
  • Apply network segmentation to limit database server exposure from the web application tier
  • Consider implementing database user privilege restrictions to limit the impact of successful injection
bash
# Example WAF rule for ModSecurity to block SQL injection attempts
SecRule ARGS:id "@detectSQLi" \
    "id:1001,\
    phase:2,\
    deny,\
    status:403,\
    log,\
    msg:'SQL Injection attempt detected in id parameter',\
    tag:'attack-sqli'"

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechAnisha Mobile Shop

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.11%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-89
  • Technical References
  • VulDB CTI ID #258000

  • VulDB #258000

  • VulDB Submission #304053
  • Related CVEs
  • CVE-2025-7459: Anisha Mobile Shop SQLi Vulnerability

  • CVE-2025-7612: Anisha Mobile Shop SQLi Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now and into the future.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English