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Coverage of named threat actors and intrusion sets examines reported incidents, infrastructure, disruption, and defensive guidance.

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Coverage under this tag concerns a named threat actor or intrusion set: an individual, group, or organized operation assessed to be responsible for malicious cyber activity. Reports may describe incidents, malware, attack infrastructure, disruption efforts, or analyst assessments. Attribution is often provisional, so actor names and reported links should be treated as intelligence judgments rather than established identity, nationality, sponsorship, or motive.

For defenders, such reporting can help connect incidents and prioritize monitoring, but indicators and techniques may be reused or become obsolete. Validate reported infrastructure, hashes, and behaviors against local telemetry; use confirmed weaknesses to guide vulnerability remediation and access controls. If activity is suspected, preserve relevant logs and evidence, contain affected accounts or systems, and coordinate investigation without relying on an actor label alone.

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The April 2025 cyber attacks targeting U.K. retailers Marks & Spencer and Co-op have been classified as a "single combined cyber event." That's according to an assessment from the Cyber Monitoring Centre (CMC), a U.K.-based independent, non-profit body set up by the insurance industry to categorize major cyber events

Threat actors with suspected ties to Russia have been observed taking advantage of a Google account feature called application specific passwords (or app passwords) as part of a novel social engineering tactic designed to gain access to victims' emails

Trend Micro Research, News and Perspectives 1 year, 1 month ago

Critical Langflow Vulnerability (CVE-2025-3248) Actively Exploited to Deliver Flodrix Botnet

This blog uncovers an active campaign exploiting CVE-2025-3248 in Langflow versions before 1.3.0 that deploys the Flodrix botnet, enabling threat actors to achieve full system compromise, initiate DDoS attacks, and potentially exfiltrate sensitive data.