network-protocol-attacks
Fail
Audited by Gen Agent Trust Hub on Sep 26, 2026
Risk Level: HIGHCOMMAND_EXECUTIONDATA_EXFILTRATIONREMOTE_CODE_EXECUTIONPRIVILEGE_ESCALATIONINDIRECT_PROMPT_INJECTION
Full Analysis
- [COMMAND_EXECUTION]: The skill provides numerous pre-configured command templates for high-risk network exploitation tools across both analyzed files.
- Commands for ARP spoofing and sniffing using
arpspoof,ettercap, andbettercapinSKILL.md. - Instructions for executing
Responderto poison name resolution and capture credentials. - Usage of
yersiniaandfrogger.shfor DTP and STP attacks targeting network infrastructure. - Execution of IPv6 attack tools from the
THC-IPv6suite. - Detailed commands for post-exploitation tools like
secretsdump.pyandgetST.pyinNAME_RESOLUTION_POISONING.md. - [DATA_EXFILTRATION]: The skill focus is on the capture and exfiltration of sensitive authentication data.
- Workflow for capturing NetNTLMv1/v2 hashes via LLMNR/NBT-NS/mDNS poisoning.
- Commands to crack captured hashes using
hashcatandjohn the ripper. - Relaying captured credentials to external services (SMB, LDAP, MSSQL) to steal data or gain access.
- [REMOTE_CODE_EXECUTION]: Multiple attack paths are documented to achieve remote code execution on target systems.
ntlmrelayx.pycommands specifically targeting MSSQL to execute commands viaxp_cmdshell.- SMB relay attacks targeting hosts with signing disabled to gain administrative command execution.
- RBCD (Resource-Based Constrained Delegation) attack chains to compromise domain controllers or servers.
- [PRIVILEGE_ESCALATION]: The skill contains advanced techniques for escalating privileges within the network layer.
- VLAN hopping via DTP switch spoofing and 802.1Q double tagging.
- Spanning Tree Protocol (STP) manipulation to claim the Root Bridge and intercept all segment traffic.
- DNS takeover and DHCPv6 poisoning to redirect traffic for higher-level credential theft.
- [INDIRECT_PROMPT_INJECTION]: The skill represents a significant indirect injection surface as it is designed to process and act upon untrusted network data.
- Ingestion points: Network traffic including ARP, DHCP, LLMNR, and DNS queries (via tools like
Responderandmitm6). - Boundary markers: None identified; the skill assumes all captured traffic is a valid target for automated response/poisoning.
- Capability inventory: Extensive command execution, file writing (loot), and network operations capabilities.
- Sanitization: No evidence of input validation or sanitization before passing captured network data into attack command templates.
Recommendations
- AI detected serious security threats
Audit Metadata