Implementing input validation is the best way to mitigate the buffer overflow vulnerability at the application level. Input validation is a technique that checks the data entered by users or attackers against a set of rules or constraints, such as data type, length, format, or range. Input validation can prevent common web application attacks such as SQL injection, cross-site scripting (XSS), or command injection, which exploit the lack of input validation to execute malicious code or commands on the server or the client side. By validating the input before allowing submission, the web application can reject or sanitize any malicious or unexpected input, and protect the application from being compromised12. References: How to detect, prevent, and mitigate buffer overflow attacks - Synopsys, How to mitigate buffer overflow vulnerabilities | Infosec

Webhooksenable automatic and event-driven interactions between applications. In the context of code repositories and vulnerability scanning, webhooksautomate the scanning processevery time new code is committed. Thisensures continuous security coveragewithout relying on manual triggers, thereby embedding security checks into the development lifecycle efficiently. This automation leads to improved coverage and faster identification of vulnerabilities at the earliest stage possible in the DevSecOps pipeline.
Reference:
Mya Heath,CompTIA CySA+ All-in-One Exam Guide(2024), Chapter 2: "Webhooks are typically automated and allow for real-time data transfer to trigger workflows like vulnerability scans."

A threshold value is a parameter that defines the minimum or maximum level of a metric or event that triggers an alert. For example, a threshold value can be set to alert when the number of failed login attempts exceeds
10 in an hour, or when the CPU usage drops below 20% for more than 15 minutes. By setting a threshold value, the process can filter out irrelevant or insignificant alerts and focus on the ones that indicate a potential problem or anomaly. A threshold value can help to reduce the noise and false positives in the alert system, and improve the efficiency and accuracy of the analysis12

Explanation:

* D (4: HTTPS traffic to an external IP - 5.29.1.5)
* The log entry shows an internal system (172.16.1.30) communicating with an external IP (5.29.1.5) overTCP 443 (HTTPS)usingBrowser.exe.
* HTTPS traffic to an unknown external IP could indicate data exfiltration, as attackers often use encrypted channels to disguise stolen data transfers.
* G (7: FTP traffic to an external backup server - bank.backup.com)
* The log entry indicates that an internal machine (172.16.1.25) is transferring data tobank.backup.
comusingFTP (port 21)andFileZilla.
* FTP is a major concern because it is an outdated, unencrypted protocolthat can be exploited for data exfiltration. If unauthorized, this could be a serious data breach.
Other Options:
* A (ARP traffic) # Not a concern(Just address resolution)
* B (RPC Kerberos traffic) # Normal for authentication
* C (SMB traffic) # Internal file sharing
* **E (DNS traffic) # Common, though could be exfiltration in some cases, but not in this log)
* F (WUS traffic) # Appears to be Windows Update Service traffic, likely legitimate Reference: CompTIA CySA+ CS0-003, Chapter 5: " Network Security Monitoring and Analysis, " Section: " Detecting Data Exfiltration "