{"data":{"id":"31b62d90-2965-4576-9eaf-f53af8d5ff43","title":"Researchers Build Self-Replicating AI Worm That Operates Entirely on Local, Open-Weight Models","summary":"Researchers at the University of Toronto created a proof-of-concept AI worm that uses a locally hosted open-weight LLM (large language model, an AI trained on broad text data and released publicly) to autonomously explore networks, generate custom attacks for each target, and replicate itself without human help or relying on commercial AI services. Unlike traditional worms with fixed exploits that stop spreading when patched, this worm generates new attack strategies at runtime by reasoning about what it finds on each host, successfully compromising about 62% of a test network in seven days. The worm's ability to read newly published vulnerability advisories means that patching known bugs alone cannot stop it, since the AI can discover and exploit new attack paths that weren't in its training data.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"https://thehackernews.com/2026/06/researchers-build-self-replicating-ai.html","publishedAt":"2026-06-09T11:59:03.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_poisoning","supply_chain"],"issueType":"news","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["OpenAI","Anthropic"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":null,"disclosureDate":"2026-06-09T11:59:03.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity","availability"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}