CVE-2016-4000

9.8 CRITICAL

📋 TL;DR

CVE-2016-4000 is a critical deserialization vulnerability in Jython that allows remote attackers to execute arbitrary code by sending a malicious serialized PyFunction object. This affects any application using vulnerable Jython versions for Python code execution within Java environments. Attackers can achieve complete system compromise through this remote code execution flaw.

💻 Affected Systems

Products:
  • Jython
Versions: All versions before 2.7.1rc1
Operating Systems: All platforms running Jython
Default Config Vulnerable: ⚠️ Yes
Notes: Affects any Java application that uses Jython for Python execution, including web applications, middleware, and custom Java applications with Python integration.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete system takeover with attacker gaining full control over the affected server, enabling data theft, lateral movement, and persistent backdoor installation.

🟠

Likely Case

Remote code execution leading to application compromise, data exfiltration, and potential pivot to other systems in the network.

🟢

If Mitigated

Limited impact if proper network segmentation, least privilege, and input validation are implemented, though exploitation risk remains high.

🌐 Internet-Facing: HIGH - Any internet-facing service using vulnerable Jython is immediately exploitable without authentication.
🏢 Internal Only: HIGH - Internal applications remain vulnerable to insider threats or compromised internal systems.

🎯 Exploit Status

Public PoC: ⚠️ Yes
Weaponized: CONFIRMED
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

Exploitation is straightforward with publicly available proof-of-concept code. The vulnerability requires only the ability to send serialized data to the vulnerable application.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Jython 2.7.1rc1 and later

Vendor Advisory: http://bugs.jython.org/issue2454

Restart Required: Yes

Instructions:

1. Download Jython 2.7.1rc1 or later from official sources. 2. Replace existing Jython installation with patched version. 3. Restart all Java applications using Jython. 4. Verify no applications are using old Jython libraries.

🔧 Temporary Workarounds

Input validation and filtering

all

Implement strict input validation to reject serialized PyFunction objects at application boundaries.

Implement custom ObjectInputStream with restricted class loading
Use whitelisting for deserialized classes

Network controls

linux

Restrict network access to vulnerable applications using firewalls and segmentation.

iptables -A INPUT -p tcp --dport [APP_PORT] -s [TRUSTED_NETWORK] -j ACCEPT
iptables -A INPUT -p tcp --dport [APP_PORT] -j DROP

🧯 If You Can't Patch

  • Isolate vulnerable systems in separate network segments with strict firewall rules
  • Implement application-level monitoring for suspicious deserialization attempts and PyFunction usage

🔍 How to Verify

Check if Vulnerable:

Check Jython version with: java -jar jython.jar --version or examine JAR file metadata. Versions before 2.7.1rc1 are vulnerable.

Check Version:

java -jar jython.jar --version 2>&1 | grep -i version

Verify Fix Applied:

Confirm Jython version is 2.7.1rc1 or later and test with known exploit payloads to ensure they are rejected.

📡 Detection & Monitoring

Log Indicators:

  • Java deserialization errors
  • ClassNotFoundException for PyFunction
  • Unexpected process execution from Java applications

Network Indicators:

  • Serialized Java objects sent to application ports
  • Base64-encoded serialized data in HTTP requests

SIEM Query:

source="application.log" AND ("PyFunction" OR "ObjectInputStream" OR "readObject") AND severity=ERROR

🔗 References

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