Babuk resurfaces for criminal inspiration. Alert on PaperCut vulnerability exploitation. Too many bad bots. Phishing-as-a-service in the C2C market. KillNet's PMHC regrets.
Babuk source code provides criminal inspiration. CISA and FBI release a joint report on PaperCut. There are more bad bots out there than anyone would like. Phishing-as-a-service tools in the C2C market. CISA’s Eric Goldstein advocates the adoption of strong controls, defensible networks and coordination of strategic cyber risks. Our cyberwire producer Liz Irvin speaks with Crystle-Day Villanueva, Learning and Development Specialist for Lumu Technologies. And KillNet’s short-lived venture, with a dash of regret.
For links to all of today's stories check out our CyberWire daily news briefing:
https://thecyberwire.com/newsletters/daily-briefing/12/92
Babuk code used by 9 ransomware gangs to encrypt VMWare ESXi servers (Bleeping Computer)
Ransomware actors adopt leaked Babuk code to hit Linux systems (Decipher)
Hypervisor Ransomware | Multiple Threat Actor Groups Hop on Leaked Babuk Code to Build ESXi Lockers (SentinelOne)
Malicious Actors Exploit CVE-2023-27350 in PaperCut MF and NG (CISA)
CVE-2023-27350 Detail (NIST)
Proofpoint Emerging Threats Rules (Proofpoint)
2023 Imperva Bad Bot Report (Imperva)
New phishing-as-a-service tool “Greatness” already seen in the wild (Cisco Talos)
Ukraine at D+442: Russians say the Ukrainian counteroffensive has begun. (CyberWire)
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A dedicated inventory of concrete resources named in the episode.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.