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Malware analysis tools help organizations detect and mitigate potential cyber threats. Malware is a malicious software that attacks and causes damage to programmable devices, servers, networks, and host systems. It can be of different varieties, such as ransomware, virus, spyware, and more. Malware analysis is the process that allows for easy identification of malware emergence, its purpose, and its impact on the organization’s IT assets, endpoints, and applications. It helps in tackling vulnerabilities on time and reduces threats to applications, websites, and servers.
Once a malware is detected in the system, cybersecurity experts typically collect a sample and analyze it in a sandboxed environment to understand its functionalities and the impact it can have on the company’s security infrastructure. The team then devises how the malware can be reverse engineered by testing its response to various countermeasures such as antivirus programs.
Malware analysis tools can be categorized based on how the analysis is conducted. They will fall under one of the following types:
Static malware analysis tools
This type of tool examines a file without executing the code. Static analysis can easily be performed and helps derive static information associated with the files being examined, such as metadata, embedded resources, headers, and more. Certain technical parameters are used to identify if the file is harmful. Static analysis is not instrumental in detecting sophisticated malware as it does not run the program. It can, however, provide insights to identify where the security team should conduct their subsequent investigation. If the results of static malware analysis reveal no malicious intent, the code is usually discarded, and no further analysis is conducted to detect malware.
Dynamic malware analysis tools
Tools for conducting dynamic analysis execute suspicious codes in a secure environment known as a sandbox. They search through the codes of executable files to pull out specific suspicious actions. The sandbox helps simulate an entire host environment (memory, CPU, operating systems), allowing the security experts to constantly monitor the malware's capabilities without posing any threat to the organization’s security. It provides high-level insights to understand the nature of the malware and its impact. It also expedites the process of rediscovering a malicious file.
Hybrid malware analysis tools
Static analysis does not help in detecting sophisticated malicious code. Sophisticated malware can sometimes go undetected, even with the application of sandbox technology. Hybrid tools offer a combination of both techniques. Hybrid analysis identifies risks even from the most sophisticated malware. It detects files hiding malicious codes and derives more indicators of compromise for more informed analysis.
Forensic malware analysis tools
Digital forensic analysts use these tools to examine a system post-compromise to identify malicious files, log changes, and suspicious activity. These tools are typically used after a malware attack for security teams to analyze the capability and effects of the malware and deal with it in the future.
The following are some core features within malware analysis tools that can help users in detecting potential cybersecurity threats:
Malware identification: Malware analysis tools have built-in capabilities to identify good and malicious code. They assist in the effective detection of vulnerabilities and threats. Threat actors are resorting to highly advanced techniques that make detecting an anomaly more difficult. Malware analysis tools provide behavioral analysis to identify malicious codes and suspicious activities. This includes analysis of activity logs, process monitoring, file system tracking, and more to assist in responding to threats efficiently. Additionally, malware analysis offers extraction of indicators of compromise (IoCs), which helps to identify future threats of the same nature.
Threat alerts and triage: These tools help security teams understand the pattern of malware threats and enable them to take corrective actions on time. They conduct an initial triage of malware samples and help malware analysts to discover suspicious artifacts for debugging and reverse engineering the malware. Malware analysis tools emphasize sending high-fidelity alerts that users can trust and act on. Therefore, security professionals can prevent time wastage and take prompt actions based on these alerts.
Network activity monitoring: Organizations can benefit from malware analysis tools that monitor endpoints and networks to detect suspicious files. The tools can record, filter, and analyze network traffic to help security operations teams understand the behavioral indicators of malware and how the malware impacts network traffic.
Organizations can benefit from malware analysis tools in the following ways:
Effective response to incidents: Malware analysis tools allow security experts to efficiently respond to and contain incidents. By correctly analyzing with the help of these tools, responders can prevent the malicious code from causing massive damage to the organization and its sensitive data.
In-depth analysis of suspicious activities: The tools provide real-time insights into processes and file systems. They help incident responders and security analysts to collect, analyze and gain an in-depth understanding of the information from events and log files. This threat intelligence data can be gathered from firewalls, routers, network detection systems, and domain controllers. After performing deep analysis, these tools generate detailed reports in various formats to guide the team in determining the attacker’s motive and devise strategies for the containment and eradication of malware.
Increased security: Tools for malware analysis facilitate quick identification of threats in their systems and take corrective actions on time. This ensures the security of sensitive data and intellectual property from threat actors. Security teams also ensure safety by analyzing compiled code on different platforms such as Windows, macOS, and Linux using these tools.
Incident response teams: Cyber security incident response teams conduct digital forensics and malware analysis. Incident response teams conduct root cause analysis to understand how the malware can affect the organization. The team uses malware analysis tools for reverse engineering malware samples and extracting actionable threat intelligence that can be used as reference to identify suspicious files in the future.
Malware researchers: Industry or academic malware researchers use malware analysis solutions to enhance their knowledge of the latest techniques, maneuvers, and tools used by cyber attackers to disrupt the security thread of organizations.
Alternatives to malware analysis tools can replace this type of software, either partially or completely:
Website security software: Website security software safeguards websites from cyber attacks, online threats, and adversaries. These tools offer attributes of distributed denial of service (DDoS) protection software, content delivery networks (CDN), and web application firewalls (WAF) to provide all-around website protection.
Antivirus software: It is a software that searches for, detects, debugs, and prevents malicious software from infecting the networks, virtual machines, systems, and devices. Malware detected by an antivirus includes viruses, worms, trojans, adware, etc.
Related solutions that can be used together with malware analysis tools include:
Network sandboxing software: A network sandboxing software provides a secure and isolated environment for security analysts to monitor, analyze, identify, and eradicate suspicious files on the company’s network.
While malware analysis tools provide numerous advantages to businesses across the globe, they pose certain challenges, as listed below, which organizations must take into account.
Lack of integration, accuracy, and automation: One of the core challenges with malware analysis tools is their lack of integration and automation of workflows. As a result, the process becomes error-prone and doesn’t yield productive results. Organizations can lose valuable time due to a lack of accuracy and faulty code analysis while investigating malicious software.
Lack of expertise in the application of malware analysis tools: Malware analysis demands accuracy and requires the staff to be properly trained for the execution of this job. It is often challenging to find professionals with the right skill set. Additionally, security teams are often short-staffed and overwhelmed by the increasing number of threats. As a result, they can investigate only a fraction of the total alerts generated.
Whether a company is looking to buy its first malware analysis tool or switching to a new solution—wherever a business is in its buying process, g2.com can help select the best tool to suit the organization’s requirements.
The organization’s security professionals team should think about the pain points and jot them down, and these should be used to help create a criteria checklist. The business pain points might be related to the functionalities the tool must have to meet expectations. Besides technical and performance considerations, the team must also take into account how the new solution can add value to the existing security stack of the company. The checklist is a detailed guide that includes security requirements, necessary and nice-to-have features, budget, number of users, integrations, cloud or on-premises solutions, etc.
Depending on the scope of the deployment, it might be helpful to produce a request for information (RFI), a one-page list with a few bullet points describing what is needed from the malware analysis tool.
Create a long list
Vendor evaluations are essential to the software buying process, from meeting the business functionality needs to implementation. It helps to prepare a consistent list of questions regarding specific requirements and concerns to ask each vendor. The buyer may choose between an open-source or a closed-source tool.
The malware analysis products should be evaluated based on the following major parameters:
User-friendly interface: Malware analysis is not an easy task. As such, the tools for this job should come with a couple of user-friendly features which make the job of malware analysts as easy as possible. The tools should provide easy-to-use customizable features to help them stay organized.
Extensive library of malware variants: It becomes imperative for the tool to have large threat repositories of malware samples to help in the easy identification of different kinds of malware that can infect the system. The tools used for malware analysis typically use signature-based detection, which scans the database for artifacts of known malware families. Malware can go undetected if there is no record of the same variant in the database.
Automation: Without automation capabilities, malware detection can become tedious and error-prone even as evasive and advanced malware are becoming more common. To ensure higher accuracy, it is desirable to have additional automation capabilities within the tool as compared to a regular malware analysis solution. The organization can benefit from tools that incorporate machine learning (ML) and artificial intelligence (AI) in malware detection and analysis. ML is not limited to signature-based analysis. Machine learning algorithms help in behavior-based malware detection through the evaluation of objects for malicious behavior by identifying patterns and trends.
Create a short list
From the long list of vendors, narrowing down the list of contenders is pragmatic. Buyers must read user reviews, view ratings on the G2 Grid for the malware analysis software category and read useability ratings. Buyers can compare the features offered by different products, such as decompilation, disassembly, assembly, graphing, and scripting, along with various other features. It is also recommended to compare the pricing structure of various solutions to shorten the list to a handful of contenders.
Conduct demos
While extensive documentation and tutorials are available on vendor websites, it is beneficial to request the provider for a live demo to have a better understanding of their offering. During each demo, buyers must ask questions and get clarifications on different use cases to best evaluate how each vendor stacks up against the competition.
Choose a selection team
Before getting started, creating a winning team that will work together throughout the entire process, from identifying pain points to implementation, is essential. The selection team should consist of organization members with the right interest, skills, and time to participate in this process. A good starting point is to aim for three to five people who fill the required roles. This may include the primary decision maker, cyber security incident response professional, technical lead, and IT administrator.
Users must make sure that the selection team takes productivity-driven data into account. The selection process should involve comparing notes, facts, and figures noted during the process, such as the availability of advanced capabilities, usability, and security features.
Negotiation
It is important to discuss with the vendor their pricing structure, subscription fees, and licensing costs. For instance, the vendor may be willing to give a discount for multi-year contracts or for recommending the tool to other users.
Final decision
Selecting a vendor that has a strategy aligned with the company’s security objectives will accelerate growth. Before going all in, it is recommended to roll out a test run or pilot program to test adoption with a small sample size of users. If the tool is well used and received, the buyer can be confident that the selection is correct. If not, it might be time to evaluate other offerings.