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Phishing uses deceptive messages to steal credentials or deliver malware, while user verification, MFA, and email filtering reduce the risk.

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Phishing is deceptive communication—by email, text, phone, or a fake website—that impersonates a trusted person or service to make someone disclose credentials, approve a transaction, reveal sensitive information, or run harmful software. Attackers use it to bypass technical controls by persuading a legitimate user to perform an action, and may target employees, customers, administrators, or suppliers.

Its impact can include account takeover, unauthorized payments, exposure of personal or business data, and access to internal systems. The most effective control for stolen-password phishing is phishing-resistant multi-factor authentication, such as hardware-backed passkeys or security keys, which binds authentication to the legitimate site. Organizations should also filter and authenticate messaging where possible, use password managers, restrict risky actions, train users to verify unusual requests through a separate channel, and provide rapid reporting so suspected credentials or sessions can be revoked.

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Krebs on Security 1 year, 6 months ago

A Day in the Life of a Prolific Voice Phishing Crew

Besieged by scammers seeking to phish user accounts over the telephone, Apple and Google frequently caution that they will never reach out unbidden to users this way. However, new details about the internal operations of a prolific voice phishing gang show the group routinely abuses legitimate services at Apple and Google to force a variety of outbound communications to their users, including emails, automated phone calls and system-level messages sent to all signed-in devices.

In 2024, cyber threats targeting SaaS surged, with 7,000 password attacks blocked per second (just in Entra ID)—a 75% increase from last year—and phishing attempts up by 58%, causing $3.5 billion in losses (source: Microsoft Digital Defense Report 2024). SaaS attacks are increasing, with hackers often evading detection through legitimate usage patterns. The cyber threat arena saw standout