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Showing posts with the label supply chain attack

𝗦𝘁𝗼𝗽 𝗯𝗹𝗮𝗺𝗶𝗻𝗴 𝗔𝗜. 𝗙𝗶𝘅 𝘆𝗼𝘂𝗿 𝗽𝗿𝗼𝗺𝗽𝘁.

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Prompting      Prompting is just asking AI to do stuff but there is a massive difference between a vague request and a well-structured prompt.      A prompt is a call to action . If the pattern is vague , the AI has to guess what you mean. But the more focused and specific your prompt is, the better the results become. You are not exactly “ hacking probabilities ,” but you are giving the model better instructions to generate the output you actually want. 1. personas      Give the AI a role, personality, or level of expertise to influence how it responds and generates the result. Instead of just saying: “Explain Linux.” Try: “You are an experienced Linux instructor teaching beginners.”      Now the AI has a better idea of how to think about the response, who it is speaking to, and what kind of answer you expect. 2. context      LLMs can hallucinate. They are prediction machines that generate the most like...

Oops, No Victims: The Largest Supply Chain Attack Stole 5 Cents

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The Biggest NPM Supply Chain Attack What is a Supply Chain Attack? A supply chain attack occurs when attackers target trusted third-party components, such as libraries or registries, instead of attacking users directly. By injecting malicious code at the source, they can spread it to all downstream users. These attacks are dangerous because updates happen automatically in build pipelines, making detection harder. A small modification in a common dependency can silently compromise thousands of projects. Defenses require strong authentication, artifact signing, reproducible builds, and active monitoring of supply chain integrity. Introduction On September 8, 2025, the npm ecosystem faced one of its largest compromises. A maintainer’s account was hijacked, and malicious versions of popular packages were published. Since npm packages are used globally in countless projects, the exposure was immediate and severe. Although the financial damage was limited, the operational dis...