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Source ProofPoint.webp ProofPoint
Identifiant 8422883
Date de publication 2023-12-14 09:00:56 (vue: 2023-12-14 23:07:37)
Titre La détection de code QR malveillant fait un bond en avant géant
Malicious QR Code Detection Takes a Giant Leap Forward
Texte Proofpoint introduces inline, pre-delivery QR code detection engine to help protect against imaged-based QR code phishing attacks QR code phishing, also known as quishing, is the latest attack hitting inboxes. This emerging threat is able to get around traditional email defenses and is forging a new way to deliver email attacks directly to users. Along with email phishing, executive impersonation, spear phishing and business email compromise (BEC), this threat has become one of the top concerns for security and IT teams.   In response, Proofpoint has launched new inline sandboxing capabilities to detect and stop suspicious QR code threats. Not only do we support behavioral and sandbox detection engines, but we also provide pre- and post-scanning for risky QR codes. When combined, these capabilities more accurately detect and better protect against this new threat vector. Most API-based email security tools rely on behavioral signals, which means they can only detect a suspicious QR code email after it has been delivered to the user\'s inbox. In contrast, Proofpoint stops attacks pre-delivery, so threats can never make it to users\' inboxes.  In this blog post, we\'ll cover what you should know about QR code phishing and detection-and how Proofpoint can help.  Why QR codes?   When Microsoft disabled macros to prevent threat actors from exploiting them to deliver malware, threat actors started to test various new attack delivery techniques, such as QR codes. Used by marketers as a quick and easy way to connect with consumers and drive engagement, QR codes have become a part of our daily lives and are now used in retail stores, airline tickets, contactless menus and scan-to-pay, among many others.   While it\'s common knowledge that standard QR codes can be used in malicious ways, a recent Scantrust QR code survey found that “over 80% of US-based QR code users said that they think QR codes are safe.” It\'s this inherent trust of QR codes that threat actors depend on. That and the fact that QR codes do not expose malicious URLs make them very hard detect with traditional email security tools.   What is QR code phishing?   A QR code scam is when a bad actor creates a QR code phishing campaign to trick a user into navigating to a malicious URL. This leads them to a malicious website that then harvests their credentials or downloads malware onto their device. These campaigns include payment scams, package scams, email scams and even donation scams during the holiday season. Because all QR codes look similar, users are easily fooled.   Figure 1: How a QR scam typically works.  Why are QR codes getting through?   Legacy email security providers and most API-based email security tools have a very difficult time detecting these attacks. That\'s because these tools scan email messages for known malicious links-they don\'t scan images for links that are hidden inside QR code images.   This attack method also creates a new security blind spot. QR codes are scanned by a separate device, like a smartphone, from where the email is delivered. And smartphones are less likely to have robust security protection, which is needed to detect and prevent these attacks. For this reason, it\'s essential that an email security tool detects and blocks QR code phishing emails before they reach users\' inboxes. When messages are scanned post-delivery, like with API-based tools, there\'s a chance that users will get to them first-before they\'re clawed back.  Post-delivery-only detection risks   Post-delivery-only email security tools claim to “detect and block” QR code phishing emails, but they simply cannot. While they may “detect” a suspicious QR code email, it\'s only after the threat has been delivered to the user\'s inbox. Moreover, these tools do not sandbox suspicious QR codes. This means they have a high miss rate-which creates more risk for your company.  Besides creating more risk, they also create more work for your teams. By relying solely on behavioral anomalies, these tools
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