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| 7 Jul 2026 | |
| Written by Gabi Gerber | |
| Attacks & Threats |
The first documented case of an end-to-end ransomware operation executed autonomously by a large language model (LLM) has successfully performed extortion without a human operator, ushering in a new era in cyberattacks that has long been expected by security experts.
Researchers at Sysdig discovered a campaign run by an "agentic threat actor" (ATA) they call JadePuffer, which exploited a flaw in an Internet-facing Langflow deployment and then pivoted to a production database server to run an adaptive and fully automated ransomware campaign, according to a recent report. More here
Two new models from Chinese firms compete with top US mainstream and frontier models. Should cyber-defenders be worried? More...
Does life feel Orwellian sometimes? One researcher has a solution for you: graphic tees that confuse the neural networks… More...
Threat actors can easily steal one-time passwords sent by text when they conduct a SIM swap attack. This can lead to acc… More...
A leaked GitHub token underscores what most organizations get wrong: Treating secrets management as a tooling problem ra… More...
In addition to executing entirely in memory, the malware's infection chain incorporates other anti-analysis techniques d… More...
Two new models from Chinese firms compete with top US mainstream and frontier models. Should cyber-defenders be worried? More...
An "agentic threat actor" successfully exploited a Langflow flaw to steal data from a production database server and enc… More...
Does life feel Orwellian sometimes? One researcher has a solution for you: graphic tees that confuse the neural networks… More...
Threat actors can easily steal one-time passwords sent by text when they conduct a SIM swap attack. This can lead to acc… More...
A leaked GitHub token underscores what most organizations get wrong: Treating secrets management as a tooling problem ra… More...