4 articles tagged with #denial-of-service. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.
Zcash patched four critical vulnerabilities discovered by security researcher Alex Sol on April 4, 2026, affecting both zcashd and Zebra node implementations. The flaws included a denial-of-service vector via crafted Orchard transactions and an accounting bug in zcashd v5.10.0 that could be triggered through peer-to-peer communications.
Researchers introduce RecurGuard, a runtime monitoring system that defends reasoning-capable large language models against prompt injection attacks designed to exhaust generation budgets on decoy tasks. The defense detects 99% of such attacks while maintaining minimal false positives, though adaptive adversaries can partially evade detection by using topical rather than semantic attacks.
Researchers present DAST, a zero-shot AI framework combining Vision Language Models and Large Language Models to detect anomalies and denial-of-service attacks in O-RAN (Open Radio Access Network) infrastructure. The system achieved 0.910 F1-Score by converting network telemetry into visual representations and cross-referencing them against domain knowledge, addressing critical security gaps in disaggregated 5G/6G networks.
Researchers have discovered VidDoS, a new universal attack framework that can severely degrade Video-based Large Language Models by causing extreme computational resource exhaustion. The attack increases token generation by over 205x and inference latency by more than 15x, creating critical safety risks in real-world applications like autonomous driving.
