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Hackers Can Exploit Ollama Model Uploads to Leak Sensitive Server Data

📅 24 April 2026 at 11:10 UTC📰 Cyber Security NewsView original source ↗
Hackers Can Exploit Ollama Model Uploads to Leak Sensitive Server Data

A critical, unpatched vulnerability has been discovered in Ollama, a widely used open-source platform for running Large Language Models locally. Tracked as CVE-2026-5757, this severe memory leak allows unauthenticated remote attackers to extract sensitive data directly from a server’s heap. Discovered by security researcher Jeremy Brown via AI-assisted vulnerability research and disclosed publicly on April […] The post Hackers Can Exploit Ollama Model Uploads to Leak Sensitive Server Data appeared first on Cyber Security News.

🤖 AI BriefingAuto-generated threat analysis
🔍Threat Overview

A severe memory leak vulnerability (CVE-2026-5757) in Ollama, a widely used open-source platform for Large Language Models, allows unauthenticated remote attackers to extract sensitive data directly from a server's heap.

⚙️Technical Details
Affected Systems
Ollama
Attack Vectors
unauthenticated remote attackers via model uploads
💥Impact Assessment
Severity: critical
Who Is at Risk
servers running Ollama with unpatched vulnerability
🛡️Recommended Actions
1Patch the Ollama vulnerability as soon as possible
2Monitor server logs for suspicious activity related to model uploads
3Implement additional security measures, such as access controls and encryption
📦Affected Products
Ollama

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