Bilal
Cybersecurity Enthusiast
The main goals were to optimize Binary Atlas using real-world malware instead of synthetic or simplified samples. Rather than building detections only from documentation or known signatures, the aims were to:
Test actual malware samples
Observe what Binary Atlas misses
Improve heuristics
Refine static-analysis logic
Gradually close the gap with production-grade malware analysis platforms
VirusTotal Reference: 44285aa905260b91338398c20807f4fbc0d0cd191d23553fa7f060f15ff4718c
Full report generated by Binary Atlas: infected_analysis_20260520_024717.html
| Field | Value |
|---|---|
| SHA256 | 44285aa905260b91338398c20807f4fbc0d0cd191d23553fa7f060f15ff4718c |
| File Type | Windows PE |
| Runtime | .NET Framework / VB.NET |
| Suspected Family | XWorm RAT |
| Analysis Type | Static-only |
Before analyzing the sample with Binary Atlas, the file was checked using industry malware intelligence platforms and public threat reports.
The sample was flagged as malicious and associated with:
Community reports and threat-analysis platforms identified the malware family and characteristics as:
These external signals provided a baseline to compare Binary Atlas findings against real-world detection systems.
Binary Atlas identified:
| Property | Value |
|---|---|
| Privilege Context | USER |
| Execution Level | AS_INVOKER |
| Subsystem | WINDOWS_GUI |
This indicates the executable runs with the same privileges as the current user and does not request elevated administrator privileges by default.
The engine successfully extracted PE headers, section information, and import data.
One of the most interesting findings: the binary imports only mscoree.dll -> _CorExeMain.
Why this matters:
Limitations of traditional import analysis in this case:
At the moment, the engine still relies heavily on PE-level inspection and needs deeper .NET-specific analysis capabilities.
Binary Atlas detected:
| Feature | Status |
|---|---|
| ASLR | Enabled |
| DEP / NX | Enabled |
| CFG | Disabled |
| TLS Callbacks | None |
The binary enables common mitigations (ASLR, DEP) while Control Flow Guard (CFG) is not enabled.
Static analysis makes detecting real C2 infrastructure difficult compared to dynamic systems, but Binary Atlas identified suspicious hardcoded indicators including:
These suggest remote communication capability, possible Telegram-based C2 usage, and system/network profiling behavior.
Other detected artifacts:
Binary Atlas currently produces many false-positive domains. For example, internal .NET namespaces such as System.Core and System.Net were incorrectly treated as hardcoded domains.
Needed improvements:
Weakness: the engine mostly detects words individually rather than reconstructing full commands or execution chains. For example, detecting powershell alone is weaker than detecting a full PowerShell execution chain.
Future improvements should focus on:
Binary Atlas identified the runtime as .NET Framework and reported an unsigned or invalid digital signature.
Currently the engine still performs full analysis even if a binary contains a valid signature because signature-validation logic is under development.
Import anomaly scoring performed poorly for this managed .NET sample. The engine reported:
Import anomaly score: 0/100
This is misleading because managed .NET malware often minimizes native imports and resolves APIs dynamically.
This sample highlighted the need for:
Binary Atlas detected several DLL-related references (examples):
It also identified registry paths related to autoruns, Explorer settings, and class registrations.
The engine classified DLL hijacking severity as HIGH, which may be an overestimate since some DLL references are normal for Windows applications.
The engine detected anti-analysis indicators related to virtualization:
This suggests the malware attempts to detect virtualized or sandboxed environments, matching external threat intelligence.
Detected persistence-related artifacts and techniques:
The engine classified the sample as persistent malware due to multiple persistence techniques being present.
| Category | Result |
|---|---|
| Threat Level | CRITICAL |
| Detection Confidence | 75% |
| Total Findings | 8 |
| Malware Complexity | ADVANCED |
| Detection | Severity |
|---|---|
| Ransomware_Generic | CRITICAL |
| Rootkit_Indicators | HIGH |
| Anti-Analysis Evasion | HIGH |
| Command Execution | MEDIUM |
| Persistence Mechanisms | MEDIUM |
| Polymorphic Signature | MEDIUM |
| Hooks and Detours | MEDIUM |
| String Encryption | MEDIUM |
This test revealed several important weaknesses in Binary Atlas including:
What the engine needs:
Binary Atlas is making progress in static malware triage and behavioral inference. The engine successfully identified anti-analysis behavior, persistence indicators, suspicious communication patterns, command execution references, and several malware-related heuristics from a real-world sample using static analysis alone.
At the same time, this report documents important gaps and shows the project is not production-ready. The goal is to: