/ _ \ \_\(_)/_/ _//"\\_ more on JOHLEM.net / \ 0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0o0 Cybersecurity Spam & Phishing Detection and Management Cheat Sheet ================================================================== 1. Email Filtering Tools ------------------------ - **Command**: N/A (Tool Configuration) - **Description**: Configure email filtering tools to automatically detect and filter out potential spam or phishing emails. Tools like SpamAssassin, MailScanner, or commercial email security solutions can be employed. - **Example**: Setting up SpamAssassin to use DNS-based blocklists to filter out known spam sources. 2. Phishing Detection with Machine Learning ------------------------------------------- - **Command**: N/A (Tool Deployment) - **Description**: Deploy machine learning-based phishing detection tools to analyze email content for phishing indicators. Solutions like TensorFlow with Phishing Detection APIs can be integrated into email systems. - **Example**: Training a TensorFlow model to classify emails as phishing or legitimate based on features like URL domain reputation, the presence of suspicious keywords, and email metadata. 3. Regular Expressions for Spam Detection ----------------------------------------- - **Command**: `grep -E '(viagra|free money|click here)' /path/to/email/folder` - **Description**: Use regular expressions with grep to search for common spam keywords in emails stored in a specified directory. - **Example**: This command searches for emails containing "viagra", "free money", or "click here" in the /path/to/email/folder. 4. DNS Blocklists (RBLs) ------------------------ - **Command**: `dig +short 2.0.0.127.zen.spamhaus.org` - **Description**: Use DNS Blocklists to check if an IP address is known for sending spam. This command queries the Spamhaus Zen list for the IP address 127.0.0.2. - **Example**: If the command returns an IP address, it indicates that 127.0.0.2 is listed on the Spamhaus Zen blocklist. 5. Spear Phishing Detection with DMARC --------------------------------------- - **Command**: N/A (DNS Configuration) - **Description**: Implement DMARC (Domain-based Message Authentication, Reporting & Conformance) to protect against spear phishing. DMARC uses SPF (Sender Policy Framework) and DKIM (DomainKeys Identified Mail) to verify the sender's identity. - **Example**: Configuring DMARC records in DNS to specify mail handling policies for email failing SPF and DKIM checks. 6. Reporting Phishing Emails ----------------------------- - **Command**: `report-phishing@example.com` - **Description**: Establish a process and provide a contact (e.g., an email address) for reporting suspected phishing emails by users. - **Example**: Creating an email address specifically for users to forward suspicious emails for further investigation. 7. Conduct Regular Security Awareness Training ----------------------------------------------- - **Command**: N/A (Training Program) - **Description**: Conduct regular training sessions for employees to recognize and properly respond to phishing attempts and spam emails. - **Example**: Quarterly workshops on the latest phishing tactics and how to report suspected spam. 8. Use of Threat Intelligence Feeds ----------------------------------- - **Command**: N/A (Tool Integration) - **Description**: Integrate threat intelligence feeds into security tools to receive real-time updates on phishing campaigns and known spam sources. - **Example**: Subscribing to a service like ThreatConnect to enhance detection capabilities with updated threat data. 9. Implement Email Authentication --------------------------------- - **Command**: N/A (Email System Configuration) - **Description**: Implement email authentication mechanisms such as SPF, DKIM, and DMARC to verify that emails are from legitimate sources and to prevent email spoofing. - **Example**: Setting up SPF records in DNS to specify which mail servers are authorized to send email on behalf of your domain. 10. Analyzing Email Headers for Suspicious Activity --------------------------------------------------- - **Command**: `cat email.txt | grep "Received: from"` - **Description**: Analyze email headers for traces of suspicious routing or spoofing by examining the "Received" fields for inconsistencies. - **Example**: This command displays all "Received: from" fields in an email, helping to trace the email's path through different servers. ==================================================================