Autonomous LLM Agents & CTFs: A Second Look

2026-05-22T07:23:30Z26ba80ec3839506dd831fec018ddd6e41ca305ef43b61273aa6ec8a16ff2011b
ASSEMBLAGE-DEEPHISTORYECDSAFuzzingBrainHIDBenchHIDSLLM-agentsMEVMLLMsOSS-FuzzPolygonadversarial-mlbenchmarkingbinary-datasetblockchaincryptographyfuzzinghost-based-intrusion-detectionjailbreakinglarge-language-modelsnonce reuseprivate-key-recoveryprompt-injectiontransferabilityvulnerability-discoveryzero-day-discovery','SGX2','trusted-execution-environments','TEE

What happened

Collection of security-focused arXiv papers (May 22, 2026) covering multiple high-impact topics: (1) Critical crypto vulnerability on Polygon: systematic ECDSA nonce reuse by MEV searchers enables full private-key recovery via simple linear attacks; (2) LLM- and agent-related security: autonomous LLM agents for CTFs (general-purpose agents like claude-code match engineered ones but common failure classes remain) and THREAT, a potent jailbreak-prompt discovery framework that dramatically lowers safety-filter detection; (3) Adversarial ML: FRA-Attack improves transferability of image perturbions

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_cr
Record identifier
26ba80ec3839506dd831fec018ddd6e41ca305ef43b61273aa6ec8a16ff2011b
Enrichment time
2026-05-22T07:23:30Z
AI-assisted enrichment
Yes

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