CVE-2026-7482: 'Bleeding Llama' Leaking Process Memory in Ollama

Just caught wind of this new disclosure regarding Ollama. Cyera has released details on "Bleeding Llama" (CVE-2026-7482), and it looks pretty nasty for anyone running exposed instances.

The Breakdown

• CVE ID: CVE-2026-7482
• CVSS Score: 9.1 (Critical)
• Impact: Out-of-bounds read allowing full process memory leak.
• Attack Vector: Remote, unauthenticated.

This isn't just about model weights. Since Ollama often handles inference with sensitive prompts or system prompts containing context, leaking process memory could expose API keys, internal prompts, or other data residing in the heap during runtime. With an estimated 300k+ servers potentially exposed, the blast radius is significant.

Mitigation & Detection

If you are hosting Ollama, ensure it isn't bound to 0.0.0.0 unless absolutely necessary. You can quickly check your exposure with:

ss -tulpn | grep :11434

For those running it in Docker, make sure you're mapping ports correctly to 127.0.0.1 only.

I've thrown together a quick Python snippet to help teams check if their specific version falls within the vulnerable range defined in the advisory (assuming versions < 0.1.35 are impacted for this example):

import subprocess

def check_ollama_version():
    try:
        result = subprocess.run(['ollama', '--version'], capture_output=True, text=True)
        version = result.stdout.strip().split(' ')[1]
        # Example check logic - replace with actual vulnerable versions from advisory
        if version < "0.1.35":
            print(f"Vulnerable version detected: {version}")
        else:
            print(f"Version {version} appears safe.")
    except FileNotFoundError:
        print("Ollama not found.")

if __name__ == "__main__":
    check_ollama_version()

Given the rise of local LLM deployment in dev environments, are we seeing too many of these services exposed by default on public IPs?