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Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Crowdsourced AI += Knostic
Bernardo.Quintero · 2026-06-09 · via Hacker News - Newest: "AI"

We’re adding a new specialist to VirusTotal’s Crowdsourced AI lineup: Knostic's AgentMesh Agentic Security Supply Chain Reputation Engine. We are partnering with them to analyze Visual Studio Code extension (.VSIX) files. This complements our existing Code Insight and other AI contributors by helping developers, platform engineers, and security teams better understand the security profile of extensions and detect supply-chain threats before installing them.

Why VS Code Extensions Matter

Even putting aside the recent GitHub data breach, resulting from a malicious VS Code extensions, with the rise of IDE-based AI coding assistants and specialized developer tools, Visual Studio Code extensions have become central to modern development workflows. However, this has also made them prime targets for supply-chain attacks. Malicious actors have been caught publishing seemingly benign extensions that secretly download payloads, perform remote code execution, steal credentials, or silently exfiltrate proprietary source code and sensitive environment variables.

What you get in VirusTotal

  • Second opinion for .VSX: Knostic adds a specialized AI-driven analysis stream specifically for `.VSIX` packages. This provides security teams with an independent assessment of extension files, helping to identify both critical vulnerabilities and deliberate backdoor behaviors.
  • Clear Verdicts and Risk Levels : Knostic analyzes files and assigns a clear scan verdict (BENIGN, SUSPICIOUS, or MALICIOUS) coupled with a risk level (such as SAFE, MEDIUM, or CRITICAL) along with detailed descriptions of detected risk indicators.
  • Pivot and Search at Scane in VT Intelligence: Security analysts can now search and filter across Knostic results using newly indexed operators: * `knostic_ai_verdict:malicious | suspicious | benign` * `knostic_ai_analysis:`
    • knostic_ai_verdict:malicious | suspicious | benign
    • knostic_ai_analysis:[keywords]

    Exploring Real-World Examples

    To illustrate how Knostic’s AgentMesh works in practice, let’s explore some real VS Code extensions that have been analyzed::

    cfdf72c510670341dce392ab250a5f5ff2a398d993d1106fb8026ec6397cb393

    3dc62e65586a9aeeb8521e7824d48abd59cec209d68b87f73a9bbadbd98dc51a

    About Knostic

    Knostic discovers and defends agents and coding assistants, as well as their peripheral supply chain (e.g., extensions, skills, MCP servers). Through its Kirin platform and AgentMesh threat intelligence engine, Knostic helps enterprises govern how AI agents and developer extensions interact with internal systems and private data, neutralizing supply-chain risks at the source.

    VT Crowdsourced AI is about aggregating independent AI solutions that explain behavior and provide judgments across many file types, helping you understand unfamiliar code faster and spot novel threats sooner. If you build AI solutions that can help the community, we want to hear from you.