{"data":{"id":"cca87957-1837-45f4-afd8-596085752ddd","title":"Adversarial SQLi Detection Using Character-Level CNN and Reinforcement Learning","summary":"Researchers propose a hybrid detector that combines an enhanced Character-Level CNN (CLCNN) with a reinforcement learning module to catch adversarial SQL injection payloads that evade Web Application Firewalls. The CLCNN extracts multi-scale features, and the RL module de-obfuscates payloads where the CLCNN's confidence is low. The paper reports that the CLCNN resists tools such as AdvSQLi, RAT, and GPTFuzzer without prior knowledge, and that RL-based adversarial training raises Recall with minimal loss on standard SQLi datasets.","solution":"N/A -- no mitigation discussed in source.","labels":["security","research"],"sourceUrl":"http://ieeexplore.ieee.org/document/11419834","publishedAt":"2026-03-03T13:18:50.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":["model_evasion"],"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":"2026-03-03T13:18:50.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"advanced","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":"peer_reviewed","atlasIds":null}}