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Apple's iOS 27 adds on-device Impersonation Risk Detection against scams

Apple quietly included a feature called Impersonation Risk Detection in iOS 27, alongside the headline Siri AI update. The tool analyzes interaction patterns, timing and context on-device to flag social-engineering scams as Unknown, Medium or High risk, sharing only that risk level with supporting apps rather than personal data. Users can enable it via Settings > Privacy & Security, though activation can take up to 24 hours.

Microsoft Teams to integrate third-party deepfake detection and impersonation alerts

Microsoft plans to add support for third-party tools that identify synthetic media and impersonation threats within Teams meetings, with features launching in November. These updates will enable real-time detection signals and warnings for suspicious identities, enhancing meeting security. The move is part of a broader effort to strengthen Teams against social engineering and cyber threats, including external user restrictions and phishing protections introduced earlier.

Apple adds Impersonation Risk Detection to iOS 27 and iPadOS 27

Apple has introduced a security feature called Impersonation Risk Detection in iOS 27 and iPadOS 27 aimed at flagging social engineering scams. When a supported app detects a user is about to take a sensitive action, like making a payment or changing a password, it analyzes account and device signals and returns one of three risk levels: unknown, medium, or high. The receiving app then determines how to respond to that risk score.

Apple adds on-device Impersonation Risk Detection to iOS 27 and iPadOS 27

Apple has introduced a new opt-in security feature called Impersonation Risk Detection in iOS 27 and iPadOS 27, designed to identify social engineering scams as they happen. The feature runs entirely on-device, analyzing behavior in real time and sending only a risk label—not underlying personal data—to supporting apps.

Fake mathjs npm package hides encrypted backdoor triggered by equation solving

Security researchers at SafeDep discovered that a malicious npm package called mathmain, disguised as a copy of the popular mathjs library, contains a hidden remote access implant. The malicious code stays encrypted and dormant until a specific equation is solved using the library's lusolve() solver function, which acts as a decryption key to unlock and execute the payload.

iOS 27 adds Impersonation Risk Detection to flag potential scam activity

Apple's iOS 27 update includes a new feature called Impersonation Risk Detection, designed to catch users in the middle of a scam, such as being tricked by a fake bank fraud department into transferring money or resetting a password. Supported apps can query the iPhone during sensitive actions like payments or password changes, prompting the device to analyze interaction patterns, timing, context, and sensor data to assess whether the activity looks legitimate or suspicious.

Apple adds opt-in 'Impersonation Risk Detection' to iOS 27 to fight scams

iOS 27 includes a new privacy feature called Impersonation Risk Detection, designed to flag social engineering scams where attackers pose as banks or trusted contacts to pressure victims into transferring money or changing account details. The feature is disabled by default and must be turned on manually through Settings > Privacy & Security > Impersonation Risk Detection. It works by analyzing device and Apple Account signals to generate a risk score that participating apps can use to add warnings, delays, or identity checks.

Revolut Exposes Customer Data After Fake Government Email Scam

Revolut confirmed it handed over sensitive customer information after receiving fraudulent data requests sent from what appeared to be a legitimate government agency email domain. The exposed data reportedly included names, birth dates, addresses, phone numbers, ID documents, and possibly verification selfies and transaction histories. The company says only a limited number of customers were affected and that it has since blocked the fraudulent email address and alerted authorities.

Amazon adds AI scam-check tool to Alexa for Shopping assistant

Amazon has rolled out a new capability in its Alexa for Shopping assistant that lets customers ask whether an email, text, or call claiming to be from Amazon is genuine. The AI compares the message against Amazon's own records of communications sent and examines its content, formatting, and sender details before confirming authenticity, but only when it is highly confident.