{"data":{"id":"cdf841aa-e353-47a3-b3eb-67ed2f07c60c","title":"PhishGen: Understanding LLM Capabilities in Automated Phishing Website Generation","summary":"PhishGen is a framework that evaluates how well LLM-generated phishing pages match real pages visually and how many work end to end. Across 14 LLMs and 64 real-world phishing kits, 96.2% of safeguard-bypassing outputs render, but only 38.7% complete the full credential-harvesting pipeline. GPT 4.1 reaches 86.3 to 94.1% functional success, while uncensored models rarely exceed 45.4%.","solution":"The source distills recommendations for hybrid detectors and notes that current similarity-based defenses miss generator-level fingerprints, but it does not state a specific fix or mitigation.","labels":["security","research"],"sourceUrl":"https://arxiv.org/abs/2610.30226v1","publishedAt":"2026-10-21T17:40:26.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["other"],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["GPT 4.1"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-10-21T17:40:26.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":"preprint","atlasIds":null}}