According to Barracuda Networks, “Because this class of threats barely contains any text and does not include any or malicious attachments, it is hard for conventional phishing detectors to defend against these attacks.”
The company noted that,"to avoid being detected, the attackers typically use fresh email accounts from free services, such as Gmail, Yahoo, or Hotmail, to send the attacks. Attackers also rely on a low volume, non-burst sending behavior in an attempt to get past any bulk or anomaly-based detectors.
is a lot more effective. It exploits data extracted from multiple sources including communication graphs, reputation systems, and network-level analysis to be able to protect against such attacks. Some of these attacks may still land in users’ inboxes, so train users to recognize these attacks and not reply. Include examples of bait attacks in your
When bait attacks are identified, it’s important to remove them from users’ inboxes as quickly as possible before they open or reply to the message. can help identify and remediate these messages in minutes, preventing further spread of the attack and helping to avoid making your organization a future target.
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