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, and bettercap in SKILL.md.
  • Instructions for executing Responder to poison name resolution and capture credentials.
  • Usage of yersinia and frogger.sh for DTP and STP attacks targeting network infrastructure.
  • Execution of IPv6 attack tools from the THC-IPv6 suite.
  • Detailed commands for post-exploitation tools like secretsdump.py and getST.py in NAME_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 hashcat and john 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.py commands specifically targeting MSSQL to execute commands via xp_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 Responder and mitm6).
  • 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
Risk Level
HIGH
Analyzed
Sep 26, 2026, 02:02 AM