Skill UI

A comprehensive solution for identifying and preventing the accidental commitment of exposed AWS credentials, API keys, and session tokens within source code, configuration files, and git history. It integrates TruffleHog and git-secrets into CI/CD pipelines and pre-commit hooks, providing critical protection against credential theft and unauthorized cloud access in a DevSecOps environment. Essential for security auditing and compliance.

This skill details the detection of Pass-the-Ticket (PtT) attacks, a critical credential theft technique. It instructs users on analyzing Windows Security Event IDs (4768, 4769, 4771) within SIEM platforms like Splunk or Elastic. Use cases include investigating security incidents, building advanced threat hunting queries, and validating SOC monitoring coverage for lateral movement attacks.

This guide details how to hunt for DCSync attacks (MITRE ATT&CK T1003.006) in Active Directory environments. It focuses on analyzing Windows Security Event ID 4662, specifically looking for DS-Replication-Get-Changes requests originating from non-domain-controller accounts. This technique is critical for incident response, purple teaming, and detecting unauthorized credential theft via Active Directory replication abuse.

A comprehensive guide to hardening GitHub Actions CI/CD workflows against modern supply chain attacks, credential theft, and privilege escalation. Learn techniques such as pinning actions to immutable SHA digests, minimizing GITHUB_TOKEN permissions, preventing script injection from untrusted inputs, and implementing required review gates for secure deployment pipelines. Essential for any project handling production secrets or elevated permissions.

This tool automates the deployment of deception-based honeytokens within Active Directory environments. It creates fake privileged accounts, decoy SPNs for Kerberoasting detection, and misleading GPOs with password traps. Designed for advanced security teams to detect reconnaissance, lateral movement, and credential theft with high fidelity.

This comprehensive, zero-trust security auditor scans third-party AI agent skills before installation. It performs a rigorous 6-phase review process, analyzing surface patterns, script integrity, permissions, and supply chain risks. It is designed to detect malicious payloads, credential theft, instruction overrides, and prompt injection attacks, ensuring secure AI development and deployment.

Techniques for attacking WPA/WPA2/WPA3-Enterprise 802.1X networks, including EAP method identification, evil-twin RADIUS credential capture, MSCHAPv2 cracking, and EAP-TLS certificate theft paths in corporate Wi-Fi environments.

This playbook details the methodology for detecting and exploiting subdomain takeover vulnerabilities. It focuses on identifying CNAME/NS/MX records pointing to deprovisioned or unclaimed cloud resources (e.g., AWS S3 buckets, Heroku apps). Understanding these weaknesses allows attackers to serve malicious content under the victim's trusted domain, leading to phishing, credential theft, and security bypasses.

This skill provides advanced detection methods for credential dumping, covering LSASS memory access, SAM hive extraction, and NTDS.dit theft (e.g., using Mimikatz). It utilizes Sysmon Event ID 10 and Windows Security logs to enable threat hunting, assisting SOC analysts in triaging EDR alerts and building robust SIEM correlation rules.

A comprehensive guide to deploying cloud-native deception across AWS, Azure, and GCP. This skill utilizes decoy resources—such as canary IAM keys, honey object storage buckets, and decoy secrets—whose sole purpose is to generate high-fidelity alerts the instant they are interacted with by an attacker. It detects cloud reconnaissance, credential theft, and lateral movement by wiring detection through native logging services (CloudTrail, Sentinel, Cloud Audit Logs), ensuring near-zero false positives for the SOC.

A comprehensive guide to deploying decoy artifacts, such as fake credentials, URLs, and files, called honeytokens or canarytokens. These tokens have no legitimate operational use; therefore, any interaction with them provides a high-fidelity, low-false-positive signal of an intrusion, data theft, or insider threat. Use this technique to enhance detection in low-telemetry areas like file shares or credential stores.

A comprehensive methodology for exploiting modern Continuous Integration/Continuous Delivery (CI/CD) pipelines. This skill covers advanced attack vectors across major platforms, including GitHub Actions expression injection, Jenkins RCE, GitLab YAML abuse, and Azure DevOps compromise. Techniques focus on privilege escalation, credential theft, and supply chain poisoning, mapping to MITRE ATT&CK T1195.002.