ZScaler uncovers the largest ransomware payment to date. IBM says the average cost of a breach is closing in on five million dollars. Hackers exploited Proofpoint's email protection platform to send millions of phishing emails. NIST launches Dioptra to test ML models. AcidPour targets Linux data storage devices for wiping. WhatsApp for Windows allows Python to run wild. The White House releases the National Standards Strategy for Critical and Emerging Technology (USG NSSCET) Implementation Roadmap. A bipartisan Senate bill aims to fund cybersecurity apprenticeships. CISA adds three exploits to its vulnerability catalog. Ben Yelin joins us today to discuss a U.S. District Court judge’s recent dismissal of charges against SolarWinds. Loose lips sink ships, but leaky HDMI cables flood the airwaves with digital data.
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CyberWire Guest
Ben Yelin, co-host of our Caveat podcast and Program Director, Public Policy & External Affairs at University of Maryland Center for Health and Homeland Security, joins us today to discuss the U.S. District Court judge dismissing most charges against SolarWinds. For more detail on the SolarWinds decision, check out this article.
Selected Reading
Zscaler just uncovered what could be the largest ransomware payment of all time (ITPro)
Hackers exploit Proofpoint to send millions of phishing emails (Tech Monitor)
Average data breach cost jumps to $4.88 million, collateral damage increased (Help Net Security)
NIST releases open-source platform for AI safety testing (SC Media)
AcidPour Malware Attacking Linux Data Storage Devices To Wipe Out Data (GB Hackers)
WhatsApp for Windows lets Python, PHP scripts execute with no warning (Bleeping Computer)
US government debuts Implementation Roadmap for national standards strategy on critical and emerging technologies (Industrial Cyber)
Bipartisan Senate bill would promote cybersecurity apprenticeship programs (CyberScoop)
CISA warns of three new critical exploited vulnerabilities (The Stack)
AI can reveal what’s on your screen via signals leaking from cables (New Scientist)
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