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Risky Bulletin: Expired cards can be used for new transactions
Researchers show expired Visa contactless cards can be revived via NFC man-in-the-middle relay to run fraudulent transactions; roundup also covers major breaches.
University of Massachusetts Amherst researchers built an NFC man-in-the-middle rig that updates a card's expiration date in transit and relays the modified payment to POS terminals, reviving expired contactless cards; Visa terminals and the backends of all five banks studied failed to catch the manipulation. The same roundup reports Iranian hackers shut down a small UK power plant for four days, Lazarus breached South Korea's Presidential Office as part of a campaign exceeding 100 victims, and French telecom SFR suffered a breach affecting over 2.1 million customers.
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Threat landscape for industrial automation systems. Q2 2026
Kaspersky's Q2 2026 report tracks ransomware, miners, and spyware detected on industrial control systems worldwide.
Kaspersky Securelist published statistics on threats blocked on industrial automation systems during Q2 2026. The report covers ransomware, cryptocurrency miners, spyware, and other malware detected on ICS environments. The quarterly telemetry gives OT defenders a view of threat trends affecting industrial infrastructure.
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Exploits and vulnerabilities in Q2 2026
Kaspersky's Q2 2026 report tallies vulnerability, exploit, and C2 framework statistics, adding first-ever data on open-source AI framework flaws.
Kaspersky Securelist released its quarterly report on vulnerabilities, exploits, and C2 frameworks for Q2 2026. The report aggregates statistics on vulnerability disclosures and exploit activity for the quarter. For the first time, it also aggregates data on vulnerabilities in open-source AI agents and AI frameworks, extending coverage into the AI software supply chain.
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Automatically Detecting DNS Hijacking in Passive DNS
Unit 42's machine learning pipeline detected 6,729 DNS hijacking events between March and September 2024, hitting political parties, ISPs, and universities.
Unit 42 processes roughly 167 million new DNS records daily and applies a machine learning model using 74 features over 169 TB of passive DNS and geolocation data to flag hijacked domains. From March to September 2024 the pipeline screened over 29 billion records and classified 6,729 as DNS hijacking, averaging 38 detections per day; a new model detects hijacks in customer traffic within about 10 minutes. Notable cases include a Hungarian political party's hijacked domain, defacement of a large utility company and ISP, and university and research center domains repurposed for illicit gambling. DNS hijacking typically relies on stolen registrar or DNS provider credentials or cache poisoning, enabling MitM attacks, phishing, drive-by downloads, and scams.
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