Product Description
MetaDefender Cloud
Cloud-Based Advanced Threat Prevention and Malware Analysis
MetaDefender Cloud API provides enterprise malware researchers incident response teams and technology providers with comprehensive APIs to leverage advanced threat detection and prevention technologies.
Using our REST API organizations can easily add cloud-based detection and prevention of cybersecurity threats using deep content disarm and reconstruction (Deep CDR) and multiscanning with 20+ anti-malware engines. Our &ldquoTrust no file&rdquo philosophy Led us to create a cloud Platform dedicated to securing organizations against file-based attacks.
Analyze suspicious files and URLs
Files continue to be the main attack vector used today. Organizations running critical infrastructure must take strong preventive measures in their Day-to-day operations to protect against attacks. CISOs and SOCs face great challenges to keep the security of organizations up to date with the latest industry best practices. Opswat builds market-leading technologies with malware detection and prevention capabilities. MetaDefender Cloud makes Opswat technologies available in a comprehensive cloud-based service fast and highly available.
Technologies
Multiscanning
Increase detection rates decrease outbreak detection times and provides resiliency to anti-malware vendor issues. Simultaneous analysis using 20+ industry-leading antimalware engines such as McAfee Kaspersky or Bitdefender using signatures heuristics and machine learning.
No single engine detects all possible malware. See how detection rates compare depending on the number of AV engines involved in multiscanning in our Package Efficacy Report.
Samples: DridexWannacry Phobos
Deep CDR
Prevent Zero-Day and targeted attacks using OPSWAT&rsquos Deep CDR technology (ranked # 1 in the industry). We assume all files are malicious and sanitize and rebuild each file preserving the same visual data with safe content.
The technology is highly effective for preventing unknown threats including zero-day targeted attacks and threats that are equipped with malware evasion technology.
Samples: Word document PDF RTF
Sandbox Dynamic Analysis
Detonate malware in a controlled environment to expose malicious behavior by recording and classifying file behavior. Not all malware is detectable by static methods such as multiscanning especially new malware relying on zero-day attacks. Opswat Sandbox expands the malware detection capabilities of MetaDefender Cloud giving organizations a complete toolset of security technologies.
Sample: Dragonfly Kronos Emotet
Rich Metadata
MetaDefender Cloud analyzes and extracts rich file metadata giving security professionals access to information that exposes potential file irregularities or malicious capabilities. This includes Portable Executable information EXIF data Android manifest and others.
Opswat detects and classifies files based on software vendors and products and ties the data together with the vulnerability database from NIST and data reported from hundreds of thousands of live endpoints running MetaAccess.
Samples: APK Metadata Binary ReputationPEinfo EXIF
Threat intelligence platform
40+ Billion Hashes
We have collected file reputation data since 2012: multiscanning results and file metadata classified by MD5 SHA1 and SHA256 hashes to build a comprehensive file lookup service for our users. We offer flexible daily limits and our REST API is simple and easy to use. We currently have over 40 billion hashes in our database.
Threat Intelligence Feeds
We provide live feeds for both blacklisting and whitelisting hashes which can also be used in offline environments.
The feeds are updated instantly with the latest file hashes analyzed by our Platform from various sources including malware sharing programs customer files and more.
 
IP and Domain Intelligence
By applying the same multiscanning principles we gather data from multiple real-time online sources specialized in IP addresses domain and URL reputation to provide a lookup service that returns aggregated results to our users.