CVE-2018-20027

9.8 CRITICAL

📋 TL;DR

CVE-2018-20027 is a critical code injection vulnerability in Pylearn2's yaml_parse.load method that allows remote attackers to execute arbitrary code by providing malicious YAML input. This affects any application using Pylearn2 to parse untrusted YAML data. The vulnerability is particularly dangerous because it can be exploited without authentication.

💻 Affected Systems

Products:
  • Pylearn2
Versions: All versions prior to the fix
Operating Systems: All operating systems running Python
Default Config Vulnerable: ⚠️ Yes
Notes: Any application using yaml_parse.load() with untrusted YAML input is vulnerable. The vulnerability exists in the default configuration.

📦 What is this software?

⚠️ Manual Verification Required

This CVE does not have specific version information in our database, so automatic vulnerability detection cannot determine if your system is affected.

Why? The CVE database entry doesn't specify which versions are vulnerable (no version ranges provided by the vendor/NVD).

🔒 Custom verification scripts are available for registered users. Sign up free to download automated test scripts.

Recommended Actions:
  1. Review the CVE details at NVD
  2. Check vendor security advisories for your specific version
  3. Test if the vulnerability is exploitable in your environment
  4. Consider updating to the latest version as a precaution

⚠️ Risk & Real-World Impact

🔴

Worst Case

Complete system compromise with remote code execution, allowing attackers to install malware, exfiltrate data, or pivot to other systems.

🟠

Likely Case

Remote code execution leading to data theft, system manipulation, or deployment of ransomware/cryptominers.

🟢

If Mitigated

Limited impact if proper input validation and sandboxing prevent code execution, though denial of service may still occur.

🌐 Internet-Facing: HIGH - Exploitable remotely without authentication via web interfaces or APIs that accept YAML input.
🏢 Internal Only: HIGH - Internal applications processing YAML from untrusted sources remain vulnerable to insider threats or compromised accounts.

🎯 Exploit Status

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

Simple proof-of-concept exploits exist demonstrating remote code execution. The vulnerability is easy to exploit with basic Python knowledge.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Fixed in the repository, but Pylearn2 is no longer actively maintained

Vendor Advisory: https://github.com/lisa-lab/pylearn2/issues/1593

Restart Required: No

Instructions:

1. Update to the latest Pylearn2 version from GitHub. 2. Replace yaml_parse.load() with yaml.safe_load() in all code. 3. Test applications thoroughly after changes.

🔧 Temporary Workarounds

Replace yaml_parse.load with yaml.safe_load

all

Replace vulnerable yaml_parse.load() calls with PyYAML's safe_load() which prevents code execution

Replace: yaml_parse.load(yaml_string)
With: yaml.safe_load(yaml_string)

Input validation and sanitization

all

Implement strict input validation to reject suspicious YAML content before processing

🧯 If You Can't Patch

  • Network segmentation to isolate vulnerable systems from critical assets
  • Implement strict access controls and monitor for suspicious YAML processing activity

🔍 How to Verify

Check if Vulnerable:

Search codebase for 'yaml_parse.load' calls and check if they process untrusted input

Check Version:

Check Python imports and usage patterns rather than version numbers since Pylearn2 is no longer versioned

Verify Fix Applied:

Verify all yaml_parse.load() calls have been replaced with yaml.safe_load() and test with malicious YAML payloads

📡 Detection & Monitoring

Log Indicators:

  • Unusual process execution from Python applications
  • Errors in YAML parsing logs
  • Suspicious network connections from Python processes

Network Indicators:

  • Unexpected outbound connections from applications processing YAML
  • Traffic patterns suggesting data exfiltration

SIEM Query:

Process execution where parent process is python AND command contains suspicious patterns like 'os.system' or 'subprocess'

🔗 References

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