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CVE Vulnerability Database
Vulnerability Database/CVE-2025-65896

CVE-2025-65896: Long2ice Asyncmy SQLi Vulnerability

CVE-2025-65896 is a SQL injection vulnerability in Long2ice Asyncmy allowing attackers to execute arbitrary SQL commands via crafted dict keys. This article covers technical details, affected versions, and mitigation.

Published: March 24, 2026

CVE-2025-65896 Overview

A SQL injection vulnerability exists in the long2ice asyncmy library through version 0.2.10. This vulnerability allows attackers to execute arbitrary SQL commands via crafted dictionary keys, potentially compromising database confidentiality, integrity, and availability. The asyncmy library is an asynchronous MySQL client for Python, and this flaw introduces a serious attack vector for applications utilizing it.

Critical Impact

Attackers can execute arbitrary SQL commands through crafted dictionary keys, potentially leading to complete database compromise including data exfiltration, modification, or destruction.

Affected Products

  • long2ice asyncmy versions through 0.2.10

Discovery Timeline

  • 2025-12-02 - CVE-2025-65896 published to NVD
  • 2025-12-19 - Last updated in NVD database

Technical Details for CVE-2025-65896

Vulnerability Analysis

This vulnerability is classified as CWE-89: SQL Injection. The asyncmy library fails to properly sanitize dictionary keys when constructing SQL queries, allowing attackers to inject malicious SQL commands. When user-controlled data is passed as dictionary keys during database operations, the library does not adequately escape or validate these inputs before incorporating them into SQL statements.

The network-accessible nature of this vulnerability means attackers can exploit it remotely without requiring any authentication or user interaction. Successful exploitation can result in unauthorized access to sensitive data, modification of database records, deletion of data, or potentially gaining further access to the underlying system.

Root Cause

The root cause of this vulnerability lies in improper input validation within the asyncmy library's query construction mechanism. Dictionary keys provided by users are directly incorporated into SQL statements without proper sanitization or parameterization. This allows specially crafted dictionary keys containing SQL metacharacters to break out of the intended query structure and inject arbitrary SQL commands.

Attack Vector

The attack vector for this vulnerability is network-based. An attacker can craft malicious dictionary keys containing SQL injection payloads and submit them to an application using the vulnerable asyncmy library. When the application processes these dictionary keys in database operations, the injected SQL commands are executed against the MySQL database.

The vulnerability can be exploited when applications pass user-controlled data as dictionary keys to asyncmy's database query functions. The crafted payload in the dictionary key escapes the intended context and allows execution of attacker-controlled SQL statements.

For technical details regarding this vulnerability, refer to the GitHub Issue #134 Discussion which contains additional information about the vulnerability mechanism.

Detection Methods for CVE-2025-65896

Indicators of Compromise

  • Unusual or unexpected SQL queries in database logs containing dictionary key patterns
  • Database error messages indicating syntax errors from malformed queries with special characters
  • Unexpected data modifications or deletions in database tables
  • Evidence of data exfiltration or unauthorized database access in application logs

Detection Strategies

  • Monitor database query logs for suspicious patterns including SQL injection payloads in parameter positions
  • Implement Web Application Firewall (WAF) rules to detect SQL injection attempts in API requests
  • Deploy database activity monitoring to identify anomalous query patterns and unauthorized data access
  • Review application logs for error messages related to database query parsing failures

Monitoring Recommendations

  • Enable detailed query logging on MySQL databases to capture all executed statements
  • Implement real-time alerting for SQL injection attack patterns detected by security tools
  • Monitor for unusual database connection patterns or authentication failures
  • Track changes to sensitive database tables and flag unexpected modifications

How to Mitigate CVE-2025-65896

Immediate Actions Required

  • Audit all applications using asyncmy to identify where user-controlled data is passed as dictionary keys
  • Implement strict input validation and sanitization for all dictionary keys before database operations
  • Consider implementing parameterized queries or prepared statements where possible
  • Temporarily restrict network access to affected database systems if exploitation is suspected

Patch Information

At the time of writing, users should check the GitHub Repository for AsyncMy for any security updates or patches. Review the GitHub Issue #134 Discussion for the latest information regarding fixes and workarounds from the maintainer.

Workarounds

  • Validate and sanitize all dictionary keys before passing them to asyncmy database functions
  • Implement an allowlist of permitted dictionary key names and reject any keys not on the list
  • Use ORM frameworks or query builders that provide automatic parameterization as an abstraction layer
  • Consider using alternative MySQL client libraries until a patch is available
bash
# Example: Validating dictionary keys before database operations
# Ensure dictionary keys match expected patterns (alphanumeric only)
# Reject any keys containing SQL metacharacters: ', ", ;, --, etc.
# Implement input validation at the application layer before asyncmy calls

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

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechLong2ice Asyncmy

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.04%

  • 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
  • GitHub Repository for AsyncMy

  • GitHub Issue #134 Discussion
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