Using KATA and KEDR to detect the AdaptixC2 agent
AdaptixC2 is an emerging open-source post-exploitation framework rapidly adopted by threat actors in APT attacks and ransomware campaigns. Written in Go and C++, it supports Windows, macOS, and Linux with extensive modularity through Beacon Object Files (BOFs). The framework enables diverse command-and-control channels including HTTP/S, TCP, mTLS, DNS, DoH, and SMB with RC4 encryption throughout. It implements sophisticated evasion techniques targeting both network detection systems and endpoint defenses. Despite advanced obfuscation capabilities, network-level detection remains viable through analysis of distinctive communication patterns, header structures, and behavioral indicators. The framework supports credential harvesting via LSASS dumping, LAPS exploitation, and Kerberos attacks, alongside defense evasion through process injection and lateral movement via WinRM and PsExec. Combined NDR and EDR solutions provide effective multi-layered detection coverage against AdaptixC2 operations across network ...
AI Analysis
Technical Summary
AdaptixC2 is a modular, multi-platform post-exploitation framework written in Go and C++ that supports Windows, macOS, and Linux. It enables multiple command-and-control channels including HTTP/S, TCP, mTLS, DNS, DoH, and SMB with RC4 encryption. The framework incorporates sophisticated evasion techniques targeting network detection systems and endpoint defenses. Despite obfuscation, network-level detection is possible by analyzing distinctive communication patterns, header structures, and behavioral indicators. AdaptixC2 supports credential harvesting via LSASS dumping, LAPS exploitation, and Kerberos attacks, as well as defense evasion through process injection and lateral movement via WinRM and PsExec. Detection is enhanced by combined network detection and endpoint detection and response (NDR and EDR) solutions. There are no known exploits in the wild and no patches since this is a threat actor tool rather than a software vulnerability.
Potential Impact
AdaptixC2 enables threat actors to conduct post-exploitation activities including credential harvesting, defense evasion, and lateral movement across Windows, macOS, and Linux environments. Its use in APT and ransomware campaigns poses a medium-level threat to affected organizations by facilitating persistent and stealthy attacker operations. The framework's advanced evasion techniques complicate detection, but network and endpoint detection solutions can identify its activity through characteristic communication and behavioral patterns. There are no reported exploits targeting software vulnerabilities; rather, the impact arises from its use as a malicious tool by attackers.
Mitigation Recommendations
Since AdaptixC2 is a post-exploitation framework rather than a software vulnerability, no patches or official fixes exist. Detection and mitigation rely on deploying combined network detection and endpoint detection and response (NDR and EDR) solutions capable of identifying the framework's distinctive communication patterns, header structures, and behavioral indicators. Organizations should leverage threat intelligence and detection tools such as KATA and KEDR as referenced by AlienVault to identify and respond to AdaptixC2 activity. No vendor advisory indicates that no action is required; therefore, active monitoring and detection are recommended.
Indicators of Compromise
- hash: f212fd00d9ffc0f3d868845f7f4215cb
Using KATA and KEDR to detect the AdaptixC2 agent
Description
AdaptixC2 is an emerging open-source post-exploitation framework rapidly adopted by threat actors in APT attacks and ransomware campaigns. Written in Go and C++, it supports Windows, macOS, and Linux with extensive modularity through Beacon Object Files (BOFs). The framework enables diverse command-and-control channels including HTTP/S, TCP, mTLS, DNS, DoH, and SMB with RC4 encryption throughout. It implements sophisticated evasion techniques targeting both network detection systems and endpoint defenses. Despite advanced obfuscation capabilities, network-level detection remains viable through analysis of distinctive communication patterns, header structures, and behavioral indicators. The framework supports credential harvesting via LSASS dumping, LAPS exploitation, and Kerberos attacks, alongside defense evasion through process injection and lateral movement via WinRM and PsExec. Combined NDR and EDR solutions provide effective multi-layered detection coverage against AdaptixC2 operations across network ...
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
AdaptixC2 is a modular, multi-platform post-exploitation framework written in Go and C++ that supports Windows, macOS, and Linux. It enables multiple command-and-control channels including HTTP/S, TCP, mTLS, DNS, DoH, and SMB with RC4 encryption. The framework incorporates sophisticated evasion techniques targeting network detection systems and endpoint defenses. Despite obfuscation, network-level detection is possible by analyzing distinctive communication patterns, header structures, and behavioral indicators. AdaptixC2 supports credential harvesting via LSASS dumping, LAPS exploitation, and Kerberos attacks, as well as defense evasion through process injection and lateral movement via WinRM and PsExec. Detection is enhanced by combined network detection and endpoint detection and response (NDR and EDR) solutions. There are no known exploits in the wild and no patches since this is a threat actor tool rather than a software vulnerability.
Potential Impact
AdaptixC2 enables threat actors to conduct post-exploitation activities including credential harvesting, defense evasion, and lateral movement across Windows, macOS, and Linux environments. Its use in APT and ransomware campaigns poses a medium-level threat to affected organizations by facilitating persistent and stealthy attacker operations. The framework's advanced evasion techniques complicate detection, but network and endpoint detection solutions can identify its activity through characteristic communication and behavioral patterns. There are no reported exploits targeting software vulnerabilities; rather, the impact arises from its use as a malicious tool by attackers.
Mitigation Recommendations
Since AdaptixC2 is a post-exploitation framework rather than a software vulnerability, no patches or official fixes exist. Detection and mitigation rely on deploying combined network detection and endpoint detection and response (NDR and EDR) solutions capable of identifying the framework's distinctive communication patterns, header structures, and behavioral indicators. Organizations should leverage threat intelligence and detection tools such as KATA and KEDR as referenced by AlienVault to identify and respond to AdaptixC2 activity. No vendor advisory indicates that no action is required; therefore, active monitoring and detection are recommended.
Technical Details
- Author
- AlienVault
- Tlp
- white
- References
- ["https://securelist.com/tr/adaptixc2-network-and-host-detection/119424/"]
- Adversary
- null
- Pulse Id
- 69e2824daddc65cc4bab207d
- Threat Score
- null
Indicators of Compromise
Hash
| Value | Description | Copy |
|---|---|---|
hashf212fd00d9ffc0f3d868845f7f4215cb | — |
Threat ID: 69e603f419fe3cd2cdd9a2a2
Added to database: 4/20/2026, 10:46:12 AM
Last enriched: 4/20/2026, 11:01:36 AM
Last updated: 4/21/2026, 7:04:57 AM
Views: 9
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