Utilizing “Email Security” for Enhanced Security: Use Cases for SOC Teams #part 4

Email Security Appliances (ESAs) are hardware or software solutions designed to protect an organization’s email system from a wide range of email-based threats. These appliances play a crucial role in securing inbound and outbound emails by filtering spam, blocking malware, preventing phishing attacks, and ensuring that sensitive information is safeguarded. Here’s a closer look at the key functions and benefits of Email Security Appliances:

Key Functions of Email Security Appliances:

  1. Spam Filtering: ESAs effectively block unsolicited bulk emails (spam) from reaching user inboxes, using various filtering techniques such as blacklists, heuristic analysis, and reputation scores.
  2. Malware Protection: They scan emails and attachments for malware, including viruses, worms, trojans, and ransomware. This is typically done using signature-based detection methods, heuristic analysis, and sandboxing technologies.
  3. Phishing Prevention: ESAs identify and block emails that attempt to deceive users into providing sensitive information such as passwords or credit card numbers. This is achieved through URL analysis, domain authentication protocols like DMARC (Domain-based Message Authentication, Reporting, and Conformance), and machine learning algorithms.
  4. Data Loss Prevention (DLP): They monitor outgoing emails to prevent sensitive data from being sent outside the organization unauthorizedly. DLP capabilities include content inspection, contextual analysis, and encryption enforcement.
  5. Email Encryption: ESAs often include tools to automatically encrypt emails based on policy settings to ensure that sensitive information is protected during transit.
  6. Reporting and Analytics: They provide detailed logs and reports on email traffic, threat detection, and policy enforcement, which are crucial for compliance and auditing purposes.

Log Parameters:

  1. Sender Email: The email address of the sender of the message.
  2. Recipient Email: The email address(es) of the intended recipients.
  3. Timestamp: The date and time when the email was processed.
  4. Subject: The subject line of the email.
  5. Attachment Name: Names of any files attached to the email.
  6. URLs: Any URLs contained within the email body or attachments.
  7. Threat Type: Classification of any detected threats (e.g., malware, phishing, spam).
  8. Action Taken: What action the ESA took on the email (e.g., delivered, blocked, quarantined).
  9. Size of Email: The total size of the email, including attachments.
  10. IP Address of Sender: The IP address from which the email was sent.

Use Cases for SIEM:

Detection of Phishing Attempts

  • Objective: Identify and respond to potential phishing attacks to protect sensitive information.
  • Method: Analyze incoming emails for known phishing indicators such as suspicious sender addresses, deceptive URLs, and typical phishing language in the subject or body. Use correlation rules to flag emails from previously blacklisted IPs or domains.
  • MITRE: T1566.001 (Spearphishing Attachment), T1566.002 (Spearphishing Link)

Monitoring for Data Exfiltration

  • Objective: Prevent unauthorized data exfiltration through email.
  • Method: Monitor for emails with large attachments or high volumes of outgoing emails to unusual external addresses. Utilize keyword scanning for sensitive information within attachments or body text.
  • MITRE: T1567 (Exfiltration Over Web Service)

Attachment Malware Detection

  • Objective: Detect and mitigate the spread of malware delivered via email attachments.
  • Method: Integrate ESA logs with threat intelligence platforms to analyze attachment names and hashes. Alert on attachments that match known malware signatures or exhibit anomalous behavior indicative of zero-day threats.
  • MITRE: T1566.001 (Spearphishing Attachment)

Spam Traffic Analysis

  • Objective: Reduce the impact of spam on organizational resources and prevent potential email-based threats.
  • Method: Configure thresholds for detecting high volumes of inbound emails marked as spam, particularly from single sources. Correlate with sender reputation data to enhance detection accuracy and reduce false positives.
  • MITRE: T1566.002 (Spearphishing Link)

Compliance with Regulatory Standards

  • Objective: Ensure compliance with data protection and privacy regulations by monitoring and controlling email content.
  • Method: Implement content filtering rules to detect and alert on emails containing personally identifiable information (PII) or protected health information (PHI). Ensure emails with sensitive data are encrypted and audit trails are maintained for compliance reviews.

author : hendryadrian.com