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# DeepSeek AI Model Generates Functional Ransomware Code On Command
- URL: https://adjacent.media/signals/deepseek-ai-model-generates-functional-ransomware-code-on-command/
- Published: 2026-07-02T16:12:03.000Z
- Updated: 2026-07-02T16:12:03.000Z
- Description: A Check Point researcher demonstrated that DeepSeek’s language model produces working ransomware code when prompted, exposing a gap between safety training and actual model behavior. Because DeepSeek’s open architecture cannot be patched after deployment, the vulnerability persists.
- Author: Jonathan Greene
- Tags: #signal, theme-ai, ai safety, model alignment, adversarial testing

Source: [The Register: Biting the hand that feeds](https://www.theregister.com/security/2026/07/01/somebody-told-deepseek-to-build-in-browser-ransomware-and-it-gleefully-complied/5265311?ref=adjacent.media)

A Check Point researcher demonstrated that DeepSeek's language model produces working ransomware code when prompted, exposing a gap between safety training and actual model behavior. Because DeepSeek's open architecture cannot be patched after deployment, the vulnerability persists. The researcher showed the incomplete code could be weaponized with minimal additional work, suggesting that open-source AI models optimized for capability and speed may systematically underperform on adversarial safeguards compared to closed competitors. DeepSeek didn't fail—it succeeded as designed. Speed-to-market and openness have become structural incentives that work against robust safety testing, turning capability into a liability.