Search: “human communications intelligence”

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

CategoryAll Ransomware 182 Malware 177 Vulnerability 169 Policy & legal 131 Exploit / PoC 109 Threat actor 97 Data breach 87 Industry 73 Phishing & fraud 63 AI safety & security 32 Research 22 AI tools & infra 11 AI industry 11 Tools 8

SeverityAll critical 561 high 232 medium 158 low 178 info 61

The Convergence of Space and Cyber: Evolving Threats in the Space Race 2.0

Recorded Future whitepaper warns nation-state cyber operations targeting satellites, ground stations and space supply chains will intensify during 'Space Race 2.0'.

Recorded Future's whitepaper argues that cyber operations will be decisive in the second space race, with espionage, destructive attacks, supply chain compromise and signal hijacking already affecting orbital assets and ground infrastructure. It predicts nation-states will extend cyber targeting toward deep-space ambitions such as lunar colonization and asteroid mining. The paper references the SPARTA adversarial framework and forums like Defence Space 24, and highlights US Space Command's integration of cyber and intelligence into space operations.

Recorded FutureSep 9, 00:00 UTC · 8d agoResearch

16-31 August 2026 Cyber Attacks Timeline Infographic

Hackmageddon mapped 110 confirmed cyber incidents from August 16-31, 2026, with cybercrime driving 78.2% and malware the top technique.

The biweekly timeline aggregates 110 confirmed incidents across 64 countries, with 86 attributed to cybercrime, 16 to espionage and 4 to hacktivism. Exploitation of public-facing applications (T1190) was the leading initial access vector with 33 incidents, followed by spearphishing attachments with 13. The United States was the most targeted country with 38 incidents, and information and communication was the top sector with 29.

Hackmageddon09:45 UTC · 2h agoResearch 2 sources

The AI Malware Maturity Gap

Recorded Future introduces AIM3, a five-level maturity model for AI malware, showing current attacker AI use is mostly AI-assisted rather than autonomous.

Recorded Future proposes AIM3, a five-level model defining AI malware from LLM-translated to LLM-embedded, spanning experimentation to fully autonomous agentic campaigns. Public examples remain early-stage: PROMPTFLUX uses Google Gemini to rewrite its VBScript dropper (Level 1), while Lamehug/PROMPTSTEAL, attributed to APT28, invokes the HuggingFace API to generate reconnaissance commands (Level 3). The authors argue most current AI malware augments existing tradecraft rather than enabling one-click autonomous attacks.

Recorded FutureAug 26, 00:00 UTC · 22d agoResearch