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AII-1001-82623
ConfirmedA court, a regulator or the organization itself has stated the core facts, or the record cites a court or regulator source.

Ollama AI tool has default security vulnerabilities

China's cybersecurity authority warned that Ollama, an open-source large language model tool, has default configuration vulnerabilities that could allow unauthorized access, model theft, and data exfiltration. The vulnerabilities are particularly concerning for users who deploy Ollama privately without modifying default security settings.

3 March 2025 · Meta · Security and cyberattacks
3 March 2025
AII-1001-826232 sources ↓
Quick facts
Category
Security and cyberattacks
Country
China
Source
快科技
Date
3 March 2025
Drafted by
Raidu Incident Detection

What happened

On 3 March 2025, China's National Cybersecurity and Information Security Information Notification Center issued a warning that Ollama, an open-source cross-platform large language model tool, has default configuration vulnerabilities.

According to analysis by Tsinghua University's Network Space Topology Joint Research Center, Ollama lacks security authentication in default configuration, allowing unauthorized access and model theft. The tool does not set access controls by default, and unauthenticated users can call model services, obtain model information, delete model files, or steal data.

Reported impact

Users deploying Ollama privately with default configurations without changes face risks of data leakage, computational power theft, and service interruption. Attackers without authentication can access and manipulate models through interfaces such as /api/show to extract sensitive information, and can exploit previous vulnerabilities (CVE-2024-39720/39722/39719/39721) to cause data poisoning, parameter theft, and malicious file uploads.

Index analysis

Large numbers of vulnerable Ollama servers are reportedly exposed on the internet. The vulnerability is widespread because many users deploying DeepSeek and other large models use Ollama for private deployment without modifying default settings.

Governance controls

The center recommended users strengthen vulnerability screening and timely security hardening. It advised reporting network attacks to local public security cybersecurity departments and cooperating with authorities on investigation and disposal.

Classification

Category
Security and cyberattacks
Industry
Digital security
Country
China
Harm status
Potential harm
Intent
Unintentional
Timing
Post-deployment
Harm types
Public interest
Harmed
General public
Failure modes
Data leak, Model theft
AI systems
Ollama

Sources and evidence

This record was researched and written by the Index, based on the following original reporting.

快科技
警惕!国家网络安全通报中心:大模型工具Ollama存在安全风险
3 March 2025
hkcd.com
21:55:34國家網安部門:大模型工具Ollama存安全風險
3 March 2025