Cybersecurity professionals often face the challenge of identifying and understanding advanced malware used in nation-state cyberattacks. This article from a recent Tech Talk Tuesday featuring Dan Gunter, explores an efficient method to analyze such malware, specifically focusing on BlackEnergy, a modular trojan used in cyber operations against Ukraine and Poland. Using Hybrid Analysis, a free malware sandboxing tool, we can extract critical attack techniques and understand how adversaries operate.
BlackEnergy is a well-known piece of malware that has been widely used in cyberattacks targeting government entities, media, and critical infrastructure. It typically spreads through:
Malicious Office Macros: Attackers embed macros in Word, Excel, or PowerPoint files to execute the payload when opened.
Exploiting Microsoft Office Vulnerabilities: Known exploits like CVE-2014-1761 have been used to deliver BlackEnergy.
Once executed, BlackEnergy functions as a modular trojan, meaning it can download additional payloads, including:
Keyloggers – To capture user keystrokes.
Screenshot Capture – To monitor user activity.
Remote Desktop Access – Allowing attackers full control over an infected system.
Given these capabilities, analyzing BlackEnergy is crucial for understanding how such malware operates and how to defend against it.
To analyze BlackEnergy (or any malware sample), security researchers use publicly available repositories like:
Hybrid Analysis (free version) – A sandboxed malware analysis platform.
VirusTotal (paid version) – A malware intelligence service.
Other sources – GitHub and cybersecurity research sites may also have samples.
Uploading a sample to Hybrid Analysis allows researchers to examine both static and dynamic behavior in a controlled environment.
Hybrid Analysis provides two key methods of malware investigation:
Static Analysis – Examines the file structure without executing the malware. This includes:
Identifying the file type (e.g., an Excel spreadsheet with embedded scripts).
Extracting embedded scripts and commands within the document.
Analyzing imported functions and dependencies.
Dynamic Analysis – Executes the malware in a virtual environment to observe its behavior. This includes:
Screenshots of the malware’s execution (e.g., opening an Office document and running a script).
Process tree analysis – Showing parent-child relationships of running processes.
Dropped files analysis – Identifying additional payloads deployed by the malware.
However, it’s important to note that some malware is designed to detect sandbox environments and may refuse to execute properly.
One of the most powerful features of Hybrid Analysis is its ability to map observed behaviors to the MITRE ATT&CK framework. This provides:
A clear breakdown of techniques used by the malware.
Confidence levels (Informative, Suspicious, Malicious) assigned to different findings.
Process command-line details, helping researchers understand how commands were executed.
For example, in the case of BlackEnergy, the tool identified:
T1059.003 (Windows Command Shell Execution): The malware executed commands via cmd.exe.
T1204.002 (Malicious Office Documents): The sample contained an embedded macro that ran upon opening the document.
T1036 (Masquerading): The malware disguised itself as a legitimate document.
These insights allow security teams to pivot their investigation by searching logs for similar command-line executions in their networks.
Malware evolves over time, and previously analyzed samples may not include newer detection techniques. Hybrid Analysis allows researchers to:
Reanalyze old samples using updated detection methods.
Obtain more accurate MITRE ATT&CK mappings based on the latest threat intelligence.
Improve threat hunting strategies by recognizing recurring tactics used in nation-state attacks.
For example, a BlackEnergy sample first analyzed in 2016 may not have had MITRE ATT&CK mappings. By reanalyzing it in 2022, researchers could extract more detailed attack techniques for better detection and response.
While Hybrid Analysis is a powerful tool, researchers should keep in mind:
✔ Public Availability of Samples: Any uploaded sample becomes publicly accessible, so avoid submitting malware containing sensitive company data.
✔ Sandbox Evasion Techniques: Some malware detects analysis environments and does not execute properly, requiring alternative analysis methods.
✔ Report Date Awareness: Older reports may lack modern attack mapping features, making reanalysis necessary.
This process provides an efficient way to analyze malware end-to-end, helping organizations stay ahead of evolving cyber threats.
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