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Best Malware Analysis Tools are essential in the digital world of today, where malware is a major threat to businesses all over the world. Even actions that seem harmless, like opening an email file, can cause huge financial losses if there aren’t strong security measures in place. There are a lot of Best Malware Analysis Tools that can be used to fight these online threats.
When there is a security issue with malware, a digital forensics or study team plays a key role by getting a sample of the malware and breaking it apart. This process gives important information about what the malware can do, which in turn helps guide the study. The cybersecurity industry has a lot of tools that make it easy for security analysts to figure out how malware samples work.
What’s the best? All of the tools in my Best Malware Analysis Tools arsenal are not only very good, but they are also free and open source. Because it is open source, it makes it easier for people to work together, share information, and fight the constantly changing online threats as a group. With these cutting-edge Best Malware Analysis Tools, you can be sure that your business will always be one step ahead of malware in the fight against it.
Best Malware Analysis Tools Comparison Table
Malware analysis investigates dangerous software’s functionality, behavior, and potential impact on computers. Cybersecurity experts need it to identify and respond to malware attacks and design remedies and prevention methods.
Feature | PeStudio | ProcDot | Intezer Analyze | Coro Cybersecurity | Cuckoo Sandbox |
---|---|---|---|---|---|
Type | Static analysis | Dynamic analysis | Hybrid analysis | Dynamic analysis | Dynamic analysis |
Features | PE file analysis, imports, exports, resources, strings, and xrefs | Process analysis, memory analysis, network analysis, and registry analysis | PE file analysis, imports, exports, resources, strings, and xrefs, as well as dynamic analysis of behavior | Process analysis, memory analysis, network analysis, and registry analysis | Dynamic analysis of behavior |
Pricing | Free | Free | Starts at $499 per year | Starts at $1,499 per year | Starts at $1,499 per year |
Deployment | Windows, Linux, macOS | Windows, Linux, macOS | Windows, Linux, macOS | Windows, Linux, macOS | Windows, Linux, macOS |
Website Link | – | Visit Website | Visit Website | Visit Website | Visit Website |
List of the Best Malware Analysis Tools
When choosing malware analysis tools, organizations should think about things like the needs of their cybersecurity team, the types of threats they face, the amount of automation they need, their ability to grow, and their ability to work with other systems. They should also think about how easy the tool is to use and whether or not changes and help are available.
ProcDot

Feature | Description |
---|---|
Behavior Analysis | Visualize and analyze process behavior and interactions |
Threat Detection | Detect suspicious activities, including process injections |
Malware Analysis | Identify malware behavior and potential threats in real-time |
Network Monitoring | Monitor network connections and data transfers |
Timeline View | Display a chronological timeline of process events |
Visit Website |
A malware analyst is able to ingest the output from ProcMon using ProcDot, which then automatically generates a graphical representation of the data that was collected. All that is required is to upload the CSV into ProcDot and then choose the malware’s process name.
You no longer need to create filters and browse through hundreds of thousands of events; instead, you can now explore a visual map of what recorded malware activity there was. Ingesting a pcap from a tool such as Wireshark into ProcDot is another method for enhancing the data obtained from ProcMon.
The Good
- Behavior analysis for process interactions
- Real-time threat detection
- Malware behavior identification
The Bad
- Limited support for non-Windows environments
PeStudio

Feature | Description |
---|---|
File Analysis | Analyze executable files for suspicious or malicious content |
Dependency Scanning | Identify dependencies and libraries used by the file |
Digital Signature Check | Verify digital signatures of files |
Resource Inspection | Examine resources like icons, bitmaps, and strings |
Malware Indicators | Detect common malware indicators and anomalies |
Once a file has been loaded, it will quickly show the user the malware’s hash and any VirusTotal detections. A list of strings is also pulled, but if the sample is packed, this might not give any strong indicators of compromise (IOCs). Unpacking the sample and then looking at the strings often gives useful information, like malicious sites and IP addresses.
The ‘entropy’ of the virus is also shown in the picture above. This helps figure out whether or not the malware is packed. When a sample is “packed,” it means that the person who made the malware has added a layer of code around it to hide how it works and stop it from being analyzed.
The Good
- Comprehensive file analysis
- Dependency tracking
- Digital signature verification
- Resource inspection
The Bad
- May have a learning curve for beginners
Intezer Analyze

Feature | Description |
---|---|
Genetic Malware Analysis | Analyze malware using genetic code similarities |
Code Reuse Detection | Detect reused code in different malware strains |
Threat Intelligence | Access threat intelligence and malware analysis reports |
API Integration | Integrate with other security tools and platforms |
Reporting | Generate detailed reports on analyzed malware samples |
Intezer is able to automate alert triage, incident response, and threat hunting by doing threat analysis on potential threats (such as files, URLs, and endpoints) and automatically extracting indicators of compromise (IoCs) and hunting rules. This allows for clear classification as well as enhanced prospects for detection.
Easily connects with the workflows of SOC and IR teams (EDR, SOAR, SIEM, etc.), hence reducing the amount of time it takes to respond to alarms by 90% and minimizing the majority of false positives. Reduce the amount of time it takes for an alarm response by up to 90% with Intezer. Improve detection opportunities. Automate with your existing process.
The Good
- Unique genetic malware analysis approach
- Code reuse detection for identifying threats
- Access to threat intelligence reports
The Bad
- Advanced features may require additional training
Coro Cybersecurity

Feature | Description |
---|---|
Threat Hunting | Proactive threat hunting and analysis of potential threats |
Threat Intelligence | Access to threat intelligence feeds and reports |
Incident Response | Tools and features for effective incident response |
Reporting | Generate reports on security incidents and findings |
Automation | Automate repetitive security tasks for efficiency |
A new generation of cybersecurity platforms is represented by Coro. A solitary system that ensures the safety of your entire organization. When you utilize Coro, you safeguard not only your emails and data but also your endpoint devices, cloud apps, and user behavior. Because of Coro, anyone can become a highly skilled cybersecurity professional.
Learning how to use Coro will only take a few minutes, and it is made to take care of all of your cybersecurity needs. The work is completed for you by Coro’s artificial intelligence, which is powered by the platform. Our AI is able to eliminate 95% of all threats, and the remaining 5% may be resolved with the help of Coro’s innovative One-Click-Resolve. No matter how big or small your company is, according to Coro, you deserve the same level of protection as an enterprise.
The Good
- Proactive threat hunting capabilities
- Access to threat intelligence sources
- Effective incident response tools
The Bad
- Pricing may vary based on organization size and needs
Cuckoo Sandbox Automated Malware Analysis Tool

Feature | Description |
---|---|
Malware Analysis | Automated analysis of suspicious files and URLs |
Behavior Monitoring | Monitor and report on malware behavior in a controlled environment |
Reporting | Detailed analysis reports on malware samples and behavior |
Customization | Customizable analysis and reporting options |
Open-Source | Community-supported open-source tool for malware analysis |
An automated malware analysis tool known as Cuckoo Sandbox was initially developed in conjunction with the Google Summer of Code initiative in the year 2010. In its most basic form, it is an open-source program that, for operating systems such as Windows, OS X, Linux, and Android, automates improper data analysis.
Cuckoo is used by firms that deal with malware exposure and prevention because it helps lessen the strain of manually sifting through troves of data that may contain harmful software by providing particular and critical feedback about how each file conferred works in distant contexts. Moreover, it gives input that is precise and essential about how each file conferred works in remote situations.
The Good
- Automated malware analysis
- Behavior monitoring in a controlled environment
- Detailed analysis reports
The Bad
- Limited to on-premises deployment
Questions and Answers
YARA is a strong tool for finding malware and suspicious files by matching patterns and using rules. Analysts use YARA rules to find known malware fingerprints and signs that a computer has been hacked.
Machine learning can be used to simplify and improve the way malware is found and put into categories. ML models can learn from big sets of known malware and good software, which lets them spot threats they haven’t seen before based on patterns and behaviors they’ve learned.
Threat intelligence gives useful knowledge about new threats, known attack vectors, and malware campaigns. By using threat data in malware analysis, analysts can stay up-to-date on the latest threats and figure out what’s going on with a specific malware sample.