Joe Sandbox A1 is a powerful standalone appliance based on NUC hardware running the latest version of Joe Sandbox Desktop.
Joe Sandbox A1 features:
✔ Bare metal analysis / golden hardware
✔ Hypervisor based Inspection
✔ Mini rack system
✔ Fully standalone
✔ Up to 400 analyses per day
✔ Full root access
✔ Equipped with Windows 7 or 10 analyzers
Joe Sandbox A1 enables cyber-security professionals to perform Deep Malware Analysis without any installation effort and extreme privacy. Samples will not leave the hardware.
Joe Sandbox A1 is the world's first malware analysis appliance which enables to analyze on bare metal. Malware analysis systems often use virtual machines which are easily detectable by malware. Joe Sandbox A1 uses NUC hardware to analyze malware and does not depend on VirtualBox, VMware or KVM.
The A1 appliance is using Joe Sandbox's latest Hypervisor based Inspection technology which enables stealth malware analysis of any operating system activity.
Joe Sandbox A1 has a minimal form factor of 1U with a size of only 480(W)x200(D)x55(H)mm fitting into any server rack or LAB infrastructure. Customers get full root access to the system and the Joe Sandbox Desktop configuration.
Joe Sandbox A1 is shipped as a ready to go appliance. No software installation or configuration is necessary. You get access to the web interface of Joe Sandbox A1 as well as full root access.
Joe Sandbox A1 runs and analyses malware on bare metal hardware. Joe Sandbox A1 does not use any virtualization solution like KVM, VirtualBox, XEN or VMware. Since malware is run on real hardware malware cannot detect any virtual machine.
Joe Sandbox A1 has a small form factor of only 480(W)x200(D)x44.5(H)mm. It fits into any sever rack. In addition Joe Sandbox A1 produces little noise and therefore can be used directly in your LAB.
Joe Sandbox A1 includes Joe Sandbox Hypervisor and benefits from all its features including usermode, kernel, system call and memory monitoring, stealth and high efficiency.
Joe Sandbox A1 generates very detailed analysis reports about system, network, browser and tampering/code manipulation behavior. The report includes evaluations and additional data about strings, domains and file structures. Matching generic signatures highlight suspicious and malicious key behavior. Classification and threat scores help to detect sophisticated cyber-attacks quickly. A context based search enables to quickly navigate.
Joe Sandbox A1 uses a growing set of over 1273+ generic Behavior Signatures to detect and classify malicious behavior activities such as Exploiting and Shellcode (for malicious documents), Persistence, Boot Survival, Spreading, Data Spying and Leakage and C&C Communication. Behavior Signatures are extendable and customizable and optionally are shared within a community.
Joe Sandbox A1 allows to use Yara Rules for advanced malware detection. Joe Sandbox A1 forwards all samples, downloaded files, resources as well as memory dumps to Yara. In addition Joe Sandbox A1 features a nice web based Yara Rule editor. Tired of updating Yara rules? Joe Sandbox A1 enables to automatically synchronize with GitHub repositories contain Yara rules.
Joe Sandbox A1 creates various Yara rules based on static, dynamic and hybrid behavior data. The generated Yara rules allow to identify specific malware, malware families and malware variants. Yara Rule Generator uses sophisticated data rating and clustering algorithms.
Joe Sandbox A1’s instrumentation engine enables monitoring any method or API call of VBA Macros embedded in Microsoft Office files (doc, docx, docxm, etc). The extracted dynamic information allows to detect and understand decrypted routines (via colored call graph), payload URLs and evasions. Moreover customer can add their own Pre and Post hooks to modify function parameters and return values.
Joe Sandbox A1’s instrumentation engine enables monitoring Java API calls (including arguments, returns etc) of a JAR file. The extracted dynamic information allows to detect and understand Java malware such as JRAT or Adwind RAT.
Joe Sandbox A1's Hybrid Code Analysis (HCA) engine identifies code functions based on dynamic memory dumps. HCA enables in-depth analysis of malware by understanding hidden payloads, malicious functionality not seen during runtime analysis. HCA results are highly annotated and connected to dynamic behavior information. Through an advanced algorithm, HCA identifies hidden API calls and hidden strings within codes.
Joe Sandbox A1 generates highly condensed control flow graphs, so called Execution Graphs. Execution Graphs enable to detect evasions against malware analysis systems. Furthermore Execution Graphs allow to rate the behavior by looking at API chains, execution coverage and loops. Joe Sandbox A1 also includes extensive library code detection.
Joe Sandbox A1 enables to inspect HTTPS traffic. Similiar to a next generation firewall Joe Sandbox A1 installs a MITM SSL Proxy which intercepts and analyzes any SSL traffic. This allows to inspect malicious HTTPS C&C traffic which is often used in APTs.
In addition to analysis reports in HTML, XML and JSON formats, Joe Sandbox A1 captures and generates supplementary data. This includes created files, unpacked PE files, memory dumps, PCAP of the captured network traffic, screenshots, shellcode and strings.
Joe Sandbox A1 reports are provided in all relevant export formats, ranging from common data exchange formats (XML, JSON) and document types (HTML, PDF) to malware security standards such as MAEC, CybOX, MISP and OpenIOC. Therefore, Joe Sandbox A1 reports can be seamlessly integrated with other tools and platforms.
Joe Sandbox A1 has many Third Party Integrations. Detection results from Virustotal and MetaDefender are visualized in the analysis report. Joe Sandbox A1 also integrates with Incident Response Solutions such as TheHive, Fame, MISP and CRITs. You can also use Joe Sandbox A1 in the Security Automation & Orchestration Platform Phantom and Demisto. We also offer integration with additional tools such as Viper and Malsub.
Joe Sandbox A1 allows for seamless integration into existing threat intelligence systems. It has a simple RestFul WEB API which enables file upload, analysis data download, searches, filters, alerts and more. Example scripts in Python allow a fast integration.
Joe Sandbox A1 delivers an IDA plugin which loads supplementary analysis data such as memory dumps and reconstructed PE files. Moreover the plugin enriches IDA code with dynamic information such as APIs, chunks, strings and function arguments. IDA integration enables to deeply understand und further investigate malicious code with the power of IDA.
Joe Sandbox A1 is tuned to detect malicious samples with high precision. Extensive tests have shown an average false positive rate < 2% and false negative rate < 6% for PE files. Besides the detection status (clean, suspicious or malicious) Joe Sandbox A1 generates a detailed confidence score - outlining how certain the system is about the detection.
Through predefined and configurable Cookbooks - special scripts submitted as second input - Joe Sandbox A1 allows for performing advanced use cases on the analysis machine. Cookbook scripts describe an analysis procedure and allow any possible user behavior to be automated. Browsing a URL with IE, Firefox or Chrome, logging into an email account, or running a file with special arguments are just a few examples of the existing Cookbooks included. To click through any installer Joe Sandbox A1 offers an advanced OCR based click engine.
Joe Sandbox A1 includes an intuitive web interface with features such as file and URL uploads, cookbook editor, user management and bulk upload/download and mail/syslog notifications.
Joe Sandbox A1 is built as a modular and scalable system with many settings for advanced tuning. With its open SDK, behavior signatures and cookbooks, it enables performing advanced use cases to serve organizations' specific needs. Joe Sandbox A1 supports multiple analysis machines with different applications/versions installed.
Joe Security provides excellent services, such as system installations, training, maintenance, customization and expert knowledge as an supplemental package to Joe Sandbox A1.
Joe Sandbox A1 analyzes any file type, including EXE, DLL, PIF, CMD, BAT, COM, SCR, CPL, PDF, DOC(X)(M), XLS(X)(M), PPT(X)(M), HWP (Hangul Korean), JTD (Ichitaro Japan), RFT, XPI, CRX (Chrome Plugin), EML (Email), MSG (Email), CHM, JS, VBS, VBE, LNK, JAR (Java), PS1 (Powershell), ZIP, 7Z, RAR, ZLIB. Joe Sandbox A1 includes a file type recognition engine which detects over 5000 different files.
Behavior reports in HTML, PDF, XML and JSON, dropped or downloaded files, memory dumps, strings, PCAP, screenshot, unpacked PE files, yara rules and openIOC.
Joe Sandbox A1 uses Hypervisor based Inspection.
Behavior signatures are small scripts to rate data Joe Sandbox A1 captures from the malware. Joe Sandbox A1 extracts system, network, memory, code and browser data. Joe Sandbox A1 includes a steadily increasing number of currently 1273+ signatures.
Yes, Joe Sandbox A1 enables to analyze malware on native machines. Malware often detects virtual machines, and therefore A1 is able to detect more malware.
Windows 7 x64 (English) and Windows 10 x64 (English).
Yes, Joe Sandbox A1 can be run without any connection to the Internet.
1U with a size of only 480(W)x200(D)x44(H)mm.
An Intel i9 NUC.