CVE-2025-62228

8.8 HIGH

📋 TL;DR

Apache Flink CDC 3.4.0 contains a SQL injection vulnerability that allows authenticated database users to execute arbitrary SQL commands by crafting malicious database or table names. This affects organizations using Flink CDC for change data capture with vulnerable configurations. The vulnerability requires database authentication but can lead to data manipulation or exfiltration.

💻 Affected Systems

Products:
  • Apache Flink CDC
Versions: 3.4.0
Operating Systems: All
Default Config Vulnerable: ⚠️ Yes
Notes: Only affects configurations where users can control database/table identifiers in SQL operations.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Authenticated attacker gains full database control, leading to data theft, corruption, or complete system compromise through privilege escalation.

🟠

Likely Case

Malicious insider or compromised account executes unauthorized SQL queries to access, modify, or delete sensitive data within their database permissions.

🟢

If Mitigated

Attack limited to database operations within the compromised user's existing permissions, with audit logging capturing suspicious activity.

🌐 Internet-Facing: MEDIUM - Risk depends on whether Flink CDC interfaces are exposed externally; typically used in backend data pipelines.
🏢 Internal Only: HIGH - Internal attackers or compromised accounts can exploit this vulnerability to manipulate critical data pipelines.

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: UNKNOWN
Unauthenticated Exploit: ✅ No
Complexity: LOW

Requires authenticated database access but SQL injection techniques are well-understood and easily weaponized.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: 3.5.0

Vendor Advisory: https://lists.apache.org/thread/3dn0hc1wbc5sj0jbgdg33gtnwlw7qrl3

Restart Required: Yes

Instructions:

1. Stop Flink CDC services. 2. Backup configurations and data. 3. Upgrade to Flink CDC 3.5.0. 4. Restart services. 5. Verify functionality.

🔧 Temporary Workarounds

Input Validation

all

Implement strict input validation for database and table names to reject suspicious characters.

# Configure application to validate identifiers against whitelist patterns
# Example regex: ^[a-zA-Z0-9_]+$

Database Permission Reduction

all

Limit database user permissions to minimum required operations.

# Database-specific commands to revoke unnecessary privileges
# Example PostgreSQL: REVOKE ALL ON DATABASE dbname FROM username;

🧯 If You Can't Patch

  • Implement network segmentation to isolate Flink CDC from sensitive databases
  • Enable comprehensive SQL query logging and monitoring for injection patterns

🔍 How to Verify

Check if Vulnerable:

Check Flink CDC version: if version is exactly 3.4.0 and uses database operations with user-controlled identifiers.

Check Version:

flink-cdc --version or check pom.xml for version

Verify Fix Applied:

Confirm version is 3.5.0 or higher and test with crafted identifiers that previously triggered injection.

📡 Detection & Monitoring

Log Indicators:

  • Unusual SQL queries with concatenated strings
  • Database errors containing user-supplied identifiers
  • Multiple failed login attempts followed by complex queries

Network Indicators:

  • Unusual database connection patterns from Flink CDC hosts
  • Large data transfers from databases

SIEM Query:

source="flink-cdc" AND (query="UNION" OR query="SELECT * FROM" OR query CONTAINS special characters)

🔗 References

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