Search: “detections”

2 stories in the last 24h

Searchkeyword smart Sortlatest hot importance relevance

DomainAll Cyber AIWindow24h 3d 7d 30d AllIn the wild Important only Show duplicates

CategoryAll Threat actor 11 Advisory 9 Malware 8 Industry 8 Phishing & fraud 5 Data breach 4 AI safety & security 3 Policy & legal 2 AI tools & infra 2 Research 2 AI industry 2 Tools 2 AI policy 1 Vulnerability 1

SeverityAll critical 1 high 15 medium 16 low 2 info 28

CASHEWS: Source Preprocessor for LLM-based Malicious Package Detection

CASHEWS preprocessor boosts LLM-based malicious npm package detection, raising coverage to 98.8-100% and cutting false negatives by up to 18.6 points.

Researchers present CASHEWS, a JavaScript preprocessor for LLM-based malicious package detection that deobfuscates code iteratively, extracts bundled modules and dynamically executed code, identifies malicious sinks, and computes backward slices to produce compact detector input. Threat actors evade LLM detectors by exploiting limited context windows with high token-density obfuscation and by bundling malicious code with benign packages, as seen in supply-chain attacks such as Shai-Hulud. Across 512 large package files, two scanner types, and three LLMs, CASHEWS raised analysis coverage from 69.1-85.7% to 98.8-100% and reduced false-negative rates by up to 18.6 percentage points. Median preprocessing time is 30 seconds while net analysis cost drops 34.6%.

arXiv cs.CRSep 16, 16:00 UTC · 21h agoResearch

When Agents Look Like Beacons: NIDS Evasion by Model Context Protocol Traffic

Research shows Model Context Protocol agent traffic structurally resembles C2 beaconing and evades Suricata signatures and RITA behavioral scoring in testbeds.

An arXiv study demonstrates that Model Context Protocol (MCP) JSON-RPC traffic over Streamable HTTP mimics the polling patterns of C2 frameworks like Cobalt Strike and is not flagged as anomalous by standard enterprise defenses. In a Docker testbed with eleven traffic profiles across three TLS conditions, Suricata with the Emerging Threats Open ruleset produced near-zero alerts and RITA assigned a consistent 0.0 beacon score, regardless of jitter or TLS inspection. The authors propose an agent-native network indication standard using Agent-Native ALPN and out-of-band headers.

arXiv cs.CRSep 16, 17:27 UTC · 19h agoResearch1