Ransomware groups continue to shift identities and targets. Assessments of the cyber phases of a hybrid war. Is wartime tough for criminals? Anonymous counts coup…against Moscow’s taxis.
REvil (or an impostor, or successor) may be back. A Paris-area medical center continues to work to recover from cyber extortion. An assessment of Russian failure (or disinclination) to mount effective cyber campaigns. Cyber criminals find wartime to be a tough time. Josh Ray from Accenture looks at cyber threats to the rail industry. Our guest is Dan Murphy of Invicti making the case that not all vulnerabilities are created equal. And Yandex Taxi’s app was hacked in a nuisance attack.
For links to all of today's stories check out our CyberWire daily news briefing:
https://thecyberwire.com/newsletters/daily-briefing/11/170
REvil says they breached electronics giant Midea Group (Cybernews)
Paralysed French hospital fights cyber attack as hackers lower ransom demand (RFI)
French hospital hit by $10M ransomware attack, sends patients elsewhere (BleepingComputer)
Hacks tied to Russia and Ukraine war have had minor impact, researchers say (The Record by Recorded Future)
Getting Bored of Cyberwar: Exploring the Role of the Cybercrime Underground in the Russia-Ukraine Conflict (arXiv:2208.10629v2)
Why Russia's cyber war in Ukraine hasn't played out as predicted (New Atlas)
Cyber key in Ukraine war, says spy chief (The Canberra Times)
Montenegro Sent Back to Analog by Unprecedented Cyber Attacks (Balkan Insight)
Montenegro blames criminal gang for cyber attacks on government (EU Reporter)
Ransomware Attack Sends Montenegro Reaching Out to NATO Partners (Bloomberg)
“I’m tired of living in poverty” – Russian-Speaking Cyber Criminals Feeling the Economic Pinch (Digital Shadows)
Yandex Taxi hack creates huge traffic jam in Moscow (Cybernews)
Anonymous hacked Russia's largest taxi firm and caused a massive traffic jam (Daily Star)
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.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
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.