ECCouncil 312-50v12 Test Dumps

D.   Vulnerability scanning software is not immune to software engineering flaws that might lead to serious vulnerabilities being missed

Answer DescriptionExplanation: Vulnerability scanning software is a tool that can help security analysts identify and prioritize known vulnerabilities in their systems and applications. However, it is not a perfect solution and has some limitations that need to be considered. One of the most critical limitations is that vulnerability scanning software is not immune to software engineering flaws that might lead to serious vulnerabilities being missed. This means that the software itself might have bugs, errors, or oversights that could affect its accuracy, reliability, or performance. For example, the software might:

Fail to detect some vulnerabilities due to incomplete or outdated databases, incorrect signatures, or insufficient coverage of the target system or application. Produce false positives or false negatives due to misinterpretation of the scan results, incorrect configuration, or lack of context or validation.

Cause unintended consequences or damage to the target system or application due to intrusive or aggressive scanning techniques, such as exploiting vulnerabilities, modifying data, or crashing services.

Be vulnerable to attacks or compromise by malicious actors who could exploit its weaknesses, tamper with its functionality, or steal its data.

Therefore, the security analyst should be most cautious about this limitation of vulnerability scanning software, as it could lead to a false sense of security, missed opportunities for remediation, or increased exposure to threats. The security analyst should always verify the scan results, use multiple tools and methods, and update and patch the software regularly to mitigate this risk.

References:
[CEHv12 Module 03: Vulnerability Analysis]
7 limitations of vulnerability scanners
The pros and cons of vulnerability scanning tools

B.   Implement network scanning and monitoring tools

Answer DescriptionExplanation: Sniffing attacks are a type of network attack that involves intercepting and analyzing data packets as they travel over a network. Sniffing attacks can be used to steal sensitive information, such as usernames, passwords, credit card numbers, etc. Sniffing attacks can also be used to perform reconnaissance, spoofing, or man-in-the-middle attacks.

The IT department of the company has implemented some security measures to prevent or mitigate sniffing attacks, such as:

Adding the MAC address of the gateway to the ARP cache: This prevents ARP spoofing, which is a technique that allows an attacker to redirect network traffic to their own device by sending fake ARP messages that associate their MAC address with the IP address of the gateway.

Switching to IPv6 instead of IPv4: This reduces the risk of IP spoofing, which is a technique that allows an attacker to send packets with a forged source IP address, pretending to be another device on the network.

Using encrypted sessions such as SSH instead of Telnet, and Secure File Transfer Protocol instead of FTP: This protects the data from being read or modified by an attacker who can capture the packets, as the data is encrypted and authenticated using cryptographic protocols.

However, these measures are not enough to completely eliminate the threat of sniffing, as an attacker can still use other techniques, such as:

Passive sniffing: This involves monitoring the network traffic without injecting any packets or altering the data. Passive sniffing can be done on a shared network, such as a hub, or on a switched network, using techniques such as MAC flooding, port mirroring, or VLAN hopping.

Active sniffing: This involves injecting packets or modifying the data to manipulate the network behavior or gain access to more traffic. Active sniffing can be done using techniques such as DHCP spoofing, DNS poisoning, ICMP redirection, or TCP session hijacking.

Therefore, the next step to enhance network security is to implement network scanning and monitoring tools, which can help detect and prevent sniffing attacks by: Scanning the network for unauthorized devices, such as rogue access points, hubs, or sniffers, and removing them or isolating them from the network.

Monitoring the network for abnormal traffic patterns, such as excessive ARP requests, DNS queries, ICMP messages, or TCP connections, and alerting the network administrators or blocking the suspicious sources.

Analyzing the network traffic for malicious content, such as malware, phishing, or exfiltration, and filtering or quarantining the infected or compromised devices.

References:
CEHv12 Module 05: Sniffing.
Sniffing attacks - Types, Examples & Preventing it.
How to Prevent and Detect Packet Sniffing Attacks.
Understanding Sniffing in Cybersecurity and How to Prevent It.

B.   m=90, b=15: The server can manage 90 connections per second, but the attacker's 100 connections exceed this, and with each connection held up for 15 seconds, the attack duration could be significant

Answer DescriptionExplanation: A Slow HTTP POST attack is a type of denial-of-service (DoS) attack that exploits the way web servers handle HTTP requests. The attacker sends a legitimate HTTP POST header to the web server, specifying a large amount of data to be sent in the request body. However, the attacker then sends the data very slowly, keeping the connection open and occupying the server’s resources. The attacker can launch multiple such connections, exceeding the server’s capacity to handle concurrent requests and preventing legitimate users from accessing the web server.

The attack duration D is given by the formula D = a * b, where a is the number of connections and b is the hold-up time per connection. The attacker intends to maximize D by manipulating a and b. The server can manage m connections per second, but any connections exceeding m will overwhelm the system. Therefore, the scenario that is most likely to result in the longest duration of server unavailability is the one where a > m and b is the largest. Among the four options, this is the case for option B, where a = 100, m = 90, and b = 15. In this scenario, D = 100 * 15 = 1500 seconds, which is the longest among the four options. Option A has a larger b, but a < m, so the server can handle the connections without being overwhelmed. Option C has a > m, but a smaller b, so the attack duration is shorter. Option D has a > m, but a smaller b and a smaller difference between a and m, so the attack duration is also shorter.

References:
What is a Slow POST Attack & How to Prevent One? (Guide)
Mitigate Slow HTTP GET/POST Vulnerabilities in the Apache HTTP Server - Acunetix
What is a Slow Post DDoS Attack? | NETSCOUT

C.   Implementing a brute force attack to verify system vulnerability

Answer DescriptionExplanation: A brute force attack is a method of trying different combinations of passwords or keys to gain access to a system or service. It is not a reliable way of detecting a honeypot, as it may trigger an alert or response from the target. Moreover, a brute force attack does not provide any information about the system’s characteristics or behavior that could indicate a honeypot. A honeypot is a decoy system that is designed to attract and trap attackers, while providing security teams with valuable intelligence and insights. Therefore, an ethical hacker needs to use more subtle and stealthy techniques to detect and avoid honeypots.

The other options are valid techniques for detecting a honeypot. Probing system services and observing the three-way handshake can reveal anomalies or inconsistencies in the system’s responses, such as abnormal banners, ports, or protocols. Using honeypot detection tools like Send-Safe Honeypot Hunter can scan the target network and identify potential honeypots based on various criteria, such as IP address, domain name, or open ports. Analyzing the MAC address can detect instances running on VMware, which is a common platform for deploying honeypots. A honeypot running on VMware will have a MAC address that starts with 00:0C:29, 00:50:56, or 00:05:69.

References:
What is a Honeypot? Types, Benefits, Risks and Best Practices
Using Honeypots for Network Intrusion Detection Detecting Honeypot Access With Varonis

A.   Instant Messenger Applications; verifying the sender's identity before opening any files

Answer DescriptionExplanation: The attack scenario is best described as Instant Messenger Applications, and the measure that could have prevented it is verifying the sender’s identity before opening any files. Instant Messenger Applications are communication tools that allow users to exchange text, voice, video, and file messages in real time. However, they can also be used as attack vectors for spreading malware, such as viruses, worms, or Trojans, by exploiting the trust and familiarity between the users. In this scenario, the attacker compromised one of the team member’s messenger account and used it to send malicious files to the other team members, who may have opened them without suspicion, thus infecting their systems.

This type of attack is also known as an instant messaging worm12. To prevent this type of attack, the users should verify the sender’s identity before opening any files sent through instant messenger applications. This can be done by checking the sender’s profile, asking for confirmation, or using a secure channel. Additionally, the users should also follow other security tips, such as using strong passwords, updating the application software, scanning the files with antivirus software, and reporting any suspicious activity34.

References:
1: Instant Messaging Worm - Techopedia
2: Cybersecurity’s Silent Foe: A Comprehensive Guide to Computer Worms | Silent Quadrant
3: Instant Messenger Hacks: 10 Security Tips to Protect Yourself - MUO
4: Increased phishing attacks on instant messaging platforms: how to prevent them | Think Digital Partners