{"data":{"id":"c301b650-dd96-4d52-9ba3-fdac7c663e89","title":"IndirectAD: Practical Data Poisoning Attacks Against Recommender Systems for Item Promotion","summary":"Researchers introduce IndirectAD, a data poisoning attack against recommender systems inspired by Trojan attacks on machine learning. The attack first promotes a trigger item, then transfers that advantage to a target item by creating co-occurrence data between them, which reduces the number of controlled accounts needed. Experiments on multiple datasets and recommender systems show noticeable impact with only 0.05% of a platform's user base.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11711189","publishedAt":"2026-09-28T05:06:10.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"low","attackType":["other"],"issueType":"research","affectedPackages":null,"affectedPackageNames":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":"2026-09-28T05:06:10.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}