tag: open-source-security
articles: 2 · beats: 2
latest: October 17, 2026
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Open Source Security
2 Crashtech articles on Open Source Security, spanning News and Development Best Practices, published between July 2026 and October 2026. Every piece is full-text HTML with sources, structured data and an authored FAQ.
They span News (1), Development Best Practices (1). News Development Best Practices
Anthropic Offers Free AI Security Scans. Maintainers Still Face the Hard Part
Anthropic’s opt-in scanner may surface possible open-source flaws, but validation and remediation remain human work.
npm's Biggest Security Overhaul in 16 Years Is Here — Attackers Are Already Adapting
npm v12 blocks install scripts, Git dependencies, and remote sources by default. Researchers say attackers are already routing around it.
Questions we answer about Open Source Security
- Why is a candidate vulnerability count an incomplete security measure?
- Do the reported 29,000 candidate vulnerabilities mean 29,000 confirmed bugs?
- Why is vulnerability validation difficult for maintainers?
- What does npm v12 actually change by default?
- Why is npm making this change now, in July 2026?
- Does npm v12 stop supply-chain attacks entirely?
- What happens to CI/CD pipelines that rely on install scripts?
- How are attackers already adapting to npm v12?
Frequently asked questions
What does Crashtech publish about Open Source Security?
2 articles tagged Open Source Security, the most recent published October 17, 2026. They span News (1), Development Best Practices (1). Each carries numbered sources, an authored FAQ and full structured data.
What questions about Open Source Security does Crashtech answer directly?
8 questions have a dedicated answer page under this tag, including “Why is a candidate vulnerability count an incomplete security measure?”. Each answer is authored prose from the article it belongs to, not a generated summary.
Can AI assistants read Crashtech's Open Source Security coverage?
Yes. Crashtech serves full static HTML to every crawler, allows all major AI user agents in robots.txt, and publishes an llms.txt manifest plus a full-text corpus, so assistants can retrieve and cite these articles directly.