{"data":{"id":"4cce8185-cee6-48e7-a179-3000ae867739","title":"Can LLMs Keep Up? Evaluating Phishing Detection on Telegram","summary":"The paper asks whether large language models can keep up with phishing on Telegram. The source text provided is only a publication citation (Digital Threats: Research and Practice, Volume 7, Issue 3, pages 1-27, September 2026) and contains no abstract or findings, so no method or result can be reported.","solution":"N/A -- no mitigation discussed in source.","labels":["research","security"],"sourceUrl":"https://dl.acm.org/doi/abs/10.1145/3829369?af=R","publishedAt":"2026-09-11T12:01:08.788Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":[],"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":null,"fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.8,"researchCategory":"peer_reviewed","atlasIds":null}}