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Over 47,000 Ollama instances found exposed online

Shodan has identified over 47,000 instances of Ollama that are publicly exposed and lack authentication. Many of these instances are running on costly cloud GPUs, making them vulnerable to unauthorized access and potential misuse by malicious actors. This widespread exposure highlights significant security risks for users of the Ollama service. AI

IMPACT Exposed Ollama instances could be exploited for unauthorized AI model usage or computation, potentially leading to increased costs or malicious AI-driven attacks.

RANK_REASON Discovery of exposed instances of a software tool.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Over 47,000 Ollama instances found exposed online

How we ranked this

Signal score
6 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Discovery of exposed instances of a software tool.
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
infra, safety
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Shodan indexes over 47.000 exposed Ollama instances, including many running on expensive cloud GPUs. The API has no authentication, which means hackers can run

    Shodan indexes over 47.000 exposed Ollama instances, including many running on expensive cloud GPUs. The API has no authentication, which means hackers can run prompts, steal models and exploit vulnerable versions. Article: https:// hackers-arise.com/hacking-arti ficial-intellige…