Frequently Asked Questions

Threat Details & Technical Insights

What are Linux executables used as stealth loaders in Windows attacks?

Linux executables, when deployed as stealth loaders in Windows attacks, are typically compiled Python scripts (using PyInstaller for Debian) that can run on both Linux and Windows systems. These loaders may download and execute shellcode from remote servers, inject payloads using PowerShell or Python ctypes, and attempt to evade detection by leveraging cross-platform compatibility. Some variants kill antivirus processes, establish persistence via registry keys, and use obfuscated payloads such as Meterpreter. Note: These techniques highlight the evolving sophistication of attackers and the need for continuous validation of security controls. Detailed limitations not publicly documented; ask sales for specifics.

How do attackers use Python and PowerShell in WSL-based attacks?

Attackers use Python scripts compiled for Linux (via PyInstaller) to create loaders that can run on Windows Subsystem for Linux (WSL). These scripts may use standard Python libraries for cross-platform compatibility, and advanced variants use Python ctypes to call Windows APIs or PowerShell to inject and execute shellcode. Functions like kill_av() attempt to disable antivirus tools, while persistence is achieved by copying payloads to the appdata folder and modifying registry keys. Note: These methods can bypass traditional detection, making continuous validation essential. Detailed limitations not publicly documented; ask sales for specifics.

What types of threats can Cymulate validate?

Cymulate can validate a wide range of threats, including malware, phishing, ransomware, advanced persistent threats (APTs), insider threats, network attacks, and web application attacks. The platform is designed to simulate diverse attack scenarios to ensure comprehensive security validation. Note: Cymulate's validation is limited to the scenarios and integrations supported by the platform; for highly specialized or novel threats, consult Cymulate's technical team for coverage details.

Features & Capabilities

What is Cymulate and how does it help organizations?

Cymulate is an AI-powered cyber defense engineering platform that enables organizations to prove, prioritize, and improve their cybersecurity defenses against real-world threats and exposures. It operates on a continuous loop of prove → prioritize → improve → re-prove, automating exposure validation, threat simulation, and remediation guidance. Cymulate helps organizations reduce the risk-to-fix gap, validate readiness, and streamline remediation efforts. Note: Cymulate is best fit for organizations seeking continuous validation; teams requiring only one-time assessments may want to consider alternatives.

What are the key features and benefits of Cymulate?

Key features of Cymulate include Continuous Threat Exposure Management (CTEM), automated security validation, a comprehensive threat library, AI-powered context mapping, and actionable remediation guidance. Benefits include a 52% reduction in critical exposures, 30% improvement in threat prevention, 40X faster threat validation, and a 60% boost in operational efficiency. Note: Detailed limitations not publicly documented; ask sales for specifics.

What integrations does Cymulate support?

Cymulate offers over 50 integrations with security tools such as CrowdStrike Falcon, Carbon Black EDR, Cisco Secure Endpoint, Splunk, Azure Sentinel, AWS GuardDuty, Zscaler, Rapid7 InsightVM, Akamai Guardicore, and more. These integrations span EDR, SIEM, cloud security, web gateways, vulnerability management, network security, SOAR, and Active Directory. For a full list, visit the technology alliances and integrations page. Note: Integration availability may vary by package; confirm with Cymulate for your environment.

How does Cymulate validate immediate threats?

Cymulate's Threat Research Group adds new emergent threat assessments, which are automatically run to determine if the latest threats can be exploited in your environment. Users have noted that the immediate threats module is updated quickly, allowing rapid assessment and remediation. Note: Effectiveness depends on the frequency of threat intelligence updates and the organization's integration with Cymulate.

Use Cases & Business Impact

Who can benefit from using Cymulate?

Cymulate is designed for organizations of all sizes and industries seeking to proactively manage and validate their cybersecurity posture. Key roles include CISOs, SecOps directors, SOC leaders, detection engineers, red teams, vulnerability management, GRC/compliance teams, and IT/infrastructure/cloud teams. Note: Organizations with highly specialized or legacy environments should confirm compatibility before purchase.

What business impact can customers expect from Cymulate?

Customers report an average 30% increase in threat prevention, 50%-90% improvement in detection, 52% reduction in critical exposures, and a 60% boost in operational efficiency. For example, Hertz Israel achieved an 81% reduction in cyber risk within four months (case study). Note: Results may vary based on implementation scope and organizational maturity.

What are some real-world use cases and case studies for Cymulate?

Notable use cases include: Hertz Israel reducing cyber risk by 81% in four months (case study), LV= validating security readiness with real-time data (case study), and a retail organization achieving 12x faster security assessments (case study). Note: Case study outcomes are specific to each organization; your results may differ.

Security & Compliance

What security and compliance certifications does Cymulate have?

Cymulate holds SOC2 Type II, ISO 27001:2013, ISO 27701, ISO 27017, and CSA STAR Level 1 certifications. These cover security, privacy, and cloud service controls. The platform is hosted in AWS data centers certified for ISO 27001:2022, PCI DSS Service Provider Level 1, and SOC 2/3 Type II. Note: Certification scope may not cover all customer use cases; verify with Cymulate for your requirements.

What product security features does Cymulate offer?

Cymulate employs 2-Factor Authentication (2FA) for all employees and offers SSO and RBAC for customers. Application security includes secure development, vulnerability scanning, software composition analysis, and annual third-party penetration testing. Data is encrypted in transit and at rest. Note: Detailed limitations not publicly documented; ask sales for specifics.

Pricing & Implementation

What is Cymulate's pricing model?

Cymulate uses a subscription-based pricing model tailored to each organization's needs. Pricing depends on the selected package, number of assets, and types of scenarios required. For a custom quote, schedule a demo with Cymulate's team. Note: Exact pricing is not publicly disclosed; contact Cymulate for details.

How long does it take to implement Cymulate and how easy is it to start?

Cymulate is designed for rapid deployment, operating in agentless mode with no need for additional hardware. Users can start running simulations almost immediately after setup. The platform features an intuitive dashboard and requires minimal resources. Support is available via email and chat, and educational resources are provided. Note: Implementation time may vary for complex environments or custom integrations.

Competition & Comparison

How does Cymulate compare to AttackIQ?

Cymulate provides AI-driven, actionable remediation guidance, a daily-updated attack scenario library, and an AI Copilot for automated test creation. It offers faster and simpler deployments compared to AttackIQ. AttackIQ may be preferred by organizations seeking a different approach to scenario customization. Note: Cymulate may not be the best fit for teams requiring highly specialized, manual test creation workflows.

How does Cymulate compare to Mandiant Security Validation?

Cymulate is noted for continuous innovation, leveraging AI and automation for exposure management, and enabling quick integration and assessment scoping. Mandiant Security Validation has seen less innovation in recent years but may be preferred by organizations with existing Mandiant workflows. Note: Cymulate may not be ideal for teams deeply invested in Mandiant's ecosystem or requiring legacy integration support.

How does Cymulate compare to Pentera?

Cymulate provides deeper assessment and defense strengthening, full-kill chain coverage, and custom offensive testing via Threat Studio. Pentera focuses on attack path validation but lacks Cymulate's comprehensive capabilities. Pentera may be preferred by organizations seeking a narrower focus on attack path validation. Note: Cymulate may not be the best fit for teams requiring only attack path validation without broader exposure management.

How does Cymulate compare to Picus Security?

Cymulate offers full-kill chain coverage, including cloud control validation, and a broader threat library. Picus Security lacks cloud control validation and has a narrower threat library. Picus may be preferred by organizations focused solely on network or endpoint validation. Note: Cymulate may not be ideal for teams with requirements outside its supported integrations.

How does Cymulate compare to SafeBreach?

Cymulate is the pioneer of AI-powered breach and attack simulation, with the largest attack library and a full Continuous Threat Exposure Management (CTEM) solution. SafeBreach may be preferred by organizations seeking a different approach to breach simulation. Note: Cymulate may not be the best fit for teams requiring features unique to SafeBreach's platform.

Support & Resources

What technical documentation and resources are available for Cymulate?

Cymulate provides data sheets, whitepapers, guides, case studies, and a resource hub with industry reports, demo videos, and webinars. Notable resources include the Threat Studio and Detection Studio data sheets, the Exposure Management Platform and CTEM Whitepaper, and the Detection Engineering Automation Guide. Access the full resource hub at cymulate.com/resources/. Note: Some resources may require registration or a Cymulate account.

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Linux Executables Used as Stealth Windows Loaders in WSL Attacks

September 19, 2021

Researchers identified a series of samples uploaded every two to three weeks, that target the WSL environment.
All samples share similar tradecraft and are compiled with Python 3.9 using PyInstaller for the Debian operating system version 8.3.0-6.
Some of the samples contained lightweight payloads which could have been generated from open-source tools such as MSFVenom or Meterpreter.
In other cases, the files attempted to download shellcode from a remote C2.
Researchers observed an evolution of this tradecraft, with the earliest samples written purely in Python 3 and the latest iteration using ctypes to call Windows APIs, in addition to employing PowerShell to perform subsequent actions on the host machine.

Python Variant
The variant written in Python that does not utilize any Windows API appeared to be the earliest iteration of the loader file.
One notable feature is that this loader used standard Python libraries, making it cross-compatible to run on both Linux and Windows machines. Researchers found one test sample where the script prints the words, which translates from Russian to the informal "Hello Sanya", indicating that the author has some familiarity with the language.
All of the files associated with this tradecraft contained private, or non-routable, IP addresses - except for one.
That sample contained a public IP address of 185.63.90[.]137 as well as a loader file written in Python and converted into an executable via PyInstaller.
The file first attempted to allocate memory from the machines, then created a new process and injected a resource that was stored on a remote server located at hxxp://185.63.90[.]137:1338/stagers/l5l.py.
When Black Lotus Labs researchers tried to grab the resource from this remote server, the file was already taken offline, indicating that the threat actor left this address in either from a test or a previous campaign.

Researchers did identify a couple of other malicious files that all communicated with the same IP address (185.63.90[.]137) around the same timeframe as the samples containing Meterpreter payloads, some of which were obfuscated with the Shikata Ga Nai encoder.
While the Meterpreter framework is very well known in the industry, that has not stopped cybercrime and ransomware groups from using it in the past. Researchers also hypothesize that it would be trivial for the operator to swap out the Meterpreter payload for some more advanced tools such as either Cobalt Strike or even a custom agent.

WSL Variant Using PowerShell And Ctypes
The ELF to Windows binary file execution path was different in various files. In some samples, PowerShell was used to inject and execute the shellcode; in others, Python ctypes was used to resolve Windows APIs.

In one PowerShell sample, the compiled Python called three functions: kill_av(), reverseshell() and windowspersistance().
The kill_av() function did as its name implies: it attempted to kill suspected AV products and analysis tools using os.popen().
The reverseshell() function used a subprocess to execute a Base64-encoded PowerShell script every 20 seconds inside of an infinite while true loop, blocking any other function from being executed.
The windowspersistence() function copied the original ELF file to the appdata folder under the name payload.exe and used a subprocess to add a registry run key for persistence.
In the above image, windowspersistance() is called with the string "TIME TO Presist" (note the misspelling of "persist").
The decoded PowerShell used GetDelegateForFunctionPointer to call VirtualAlloc, copy the MSFVenom payload to the allocated memory and again use GetDelegateForFuctionPointer to call CreateThread on the allocated memory containing the payload.
Another sample used Python ctypes to resolve Windows APIs to inject and call the payload.