Breaking Darknet CAPTCHAs with general purpose LLM
arXiv 2608.28794•afa06bbc3e34311540578deae17553ee071fe303ba00f480463a0d71c53bdde6
CAPTCHALLM-securitySQL-injectionanti-spoofingbackdoor-attacksbehavioral-biometricsblockchain-securitycloud-edge-computingdarknetfederated-learningformal-verificationmachine-learning-securitymodel-ownershipprivacysecurity-tokenssteganographyweb-application-firewall
Paper metadata
- arXiv ID
- 2608.28794
- Version
- Not specified by this published record
- Category
- Computer Science — Cryptography and Security (cs.CR)
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Evidence and limitations
- Source ID
- arxiv_cs_cr
- Record identifier
- afa06bbc3e34311540578deae17553ee071fe303ba00f480463a0d71c53bdde6
- Enrichment time
- 2026-09-01T07:23:27Z
- AI-assisted enrichment
- Yes
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