mukul975/Anthropic-Cybersecurity-Skills

Extract and decrypt Windows DPAPI-protected secrets (Credential Manager, browser logins/cookies, Wi-Fi credentials, KeePass keys) online or offline using SharpDPAPI, SharpChrome, Mimikatz, or Impacket's dpapi.py, including domain-wide decryption via the DPAPI backup key. Use during authorized red-team credential-access engagements after gaining a foothold or when triaging DPAPI blobs pulled from a host.

Take over Active Directory accounts by writing attacker-controlled public keys to msDS-KeyCredentialLink (Shadow Credentials) with pyWhisker, Whisker, or Certipy, then authenticate via PKINIT to recover the target's NT hash without a password reset. Use when BloodHound shows GenericWrite/GenericAll/AddKeyCredentialLink over a target, as a stealthier alternative to ForceChangePassword, during authorized red-team engagements.

Prepare a defense-contractor environment for CMMC Level 2 certification: scope CUI and FCI, implement the 110 NIST SP 800-171 Rev 2 security requirements across 14 families, compute the SPRS score with the DoD Assessment Methodology, manage a compliant POA&M, and ready the organization for a C3PAO assessment. Use when an organization handles Controlled Unclassified Information (CUI) under a DoD contract, when a contract carries DFARS clause 252.204-7012/7019/7020/7021, when preparing for or responding to a CMMC assessment, when computing or improving an SPRS score, when building a System Security Plan or POA&M for 800-171, or when scoping which systems are in the CUI boundary. Keywords: CMMC, CMMC Level 2, NIST 800-171, SP 800-171 Rev 2, CUI, FCI, SPRS, DFARS 7012, C3PAO, POA&M, System Security Plan, DoD Assessment Methodology, 110 controls, defense industrial base, DIB, FedRAMP equivalency.

Create forensically sound bit-for-bit disk images with dd or dcfldd on a Linux forensic workstation, preserving evidence integrity through hash verification (MD5/SHA) during acquisition. Use when imaging a suspect drive, USB device, or memory card for investigation, preserving volatile disk evidence during incident response, or producing a verified copy for legal or law-enforcement proceedings before any destructive analysis.

Detect dangerous ACL misconfigurations in Active Directory using ldap3

Perform static analysis of Android APK malware using apktool for resource decompilation, jadx for Java source recovery, and androguard for manifest inspection, dangerous permission-combination detection, and identification of obfuscated code, dynamic code loading, and reflection-based API calls. Use to statically triage a suspicious APK without executing it or to build mobile malware detection rules.

'Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect

Query ATT&CK data with attackcti, mitreattack-python, and stix2, then build MITRE ATT&CK Navigator layers and multi-layer heatmap overlays mapping one or more APT groups' TTPs for detection-gap analysis. Use to compare threat-actor technique coverage, find gaps in detection engineering, or produce Navigator visualizations for threat-intel reporting.

'Queries Azure Monitor activity logs and sign-in logs via azure-monitor-query

'Analyzes bootkit and advanced rootkit malware infecting the Master

Parse Chromium-based browser databases with Hindsight to extract and correlate browsing history, downloads, cookies, cached content, autofill data, saved passwords, and extensions from Chrome, Edge, Brave, Opera, and Vivaldi into a unified timeline (XLSX, JSON, or SQLite output). Use during incident response, insider-threat investigations, or criminal cases when you need to reconstruct a user's web activity from a browser profile.

Systematically evaluate cyber-campaign evidence to attribute an operation to a threat actor, using the Diamond Model and Analysis of Competing Hypotheses (ACH) to weigh infrastructure overlaps, TTP consistency, malware code similarity, and timing/language artifacts into confidence-weighted attribution assessments. Use when an incident investigation needs a defensible attribution confidence level.

Monitor Certificate Transparency logs using crt.sh and Certstream to

Detect abnormal access in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics for after-hours bulk downloads, new-IP access, and API-call spikes (e.g. GetObject) via statistical baselines and time-series anomaly detection. Use when investigating suspected cloud data exfiltration or building related detection rules.

Extract and analyze Cobalt Strike beacon configuration from PE files

Parse and analyze Cobalt Strike Malleable C2 profiles with dissect.cobaltstrike (profiles and beacon-payload configs) and pyMalleableC2 (AST parsing) to extract HTTP/DNS transforms, URIs, headers, sleep/jitter, and injection behavior, then generate network detection signatures. Use when reverse-engineering a captured malleable profile or building detections against Cobalt Strike Beacon traffic.

'Analyzes malware C2 communication over HTTP, HTTPS, DNS, and custom

'Analyzes intrusion activity against the Lockheed Martin Cyber Kill Chain

Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

'Analyzes DNS query logs to detect data exfiltration via DNS tunneling,

Investigate compromised Docker containers by analyzing images, layers,

Parse and analyze email headers (Received chain, Return-Path, Message-ID)

Perform static and symbolic analysis of Solidity smart contracts using

Reverse engineer Go-compiled malware in Ghidra by parsing Go buildinfo

Detect and analyze heap spray attacks in memory dumps using Volatility3

'Analyzes indicators of compromise (IOCs) including IP addresses, domains,

Runtime iOS app security testing with Objection (Frida): inspect keychain and filesystem data, explore app internals at runtime, and validate/bypass client-side protections during authorized mobile assessments.

Parses Kubernetes API server audit logs (JSON lines) to detect exec-into-pod, secret access, RBAC modifications, privileged pod creation, and anonymous API access, and builds SIEM detection rules from the event patterns. Use when investigating a suspected cluster compromise, reconstructing what an attacker did through the API server, or writing Kubernetes-specific detection content. Keywords: audit policy, audit log, kube-apiserver, exec into pod, RBAC change, anonymous access, detection rules. Do not use for syscall-level detection inside a running container - use detecting-container-runtime-threats-with-falco. '

'Uses the Linux Audit framework (auditd) with ausearch and aureport utilities

'Analyze malicious Linux ELF binaries — botnets, cryptominers, ransomware,

Detect kernel-level rootkits in Linux memory dumps using Volatility3

Examine Linux system artifacts (auth logs, cron/systemd persistence,

Analyze Windows LNK shortcut files and Jump List artifacts with LECmd,

'Analyzes malicious VBA macros embedded in Microsoft Office documents

Perform static analysis of malicious PDF documents using peepdf, pdfid,

URLScan.io is a free service for scanning and analyzing suspicious URLs.

'Detonate malware samples in Cuckoo Sandbox to observe runtime behavior

Query the Malpedia API to look up malware family aliases and naming

Use Sysinternals Autoruns to systematically enumerate and analyze malware

Detect sandbox and VM evasion techniques in malware samples by analyzing

'Analyzes RAM memory dumps from compromised systems using the Volatility framework to identify malicious processes,

'Performs Linux memory acquisition using LiME (Linux Memory Extractor)

Analyze the NTFS Master File Table ($MFT) with MFTECmd, analyzeMFT,

Detect and analyze covert communication channels used by malware, including

Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port

Use Scapy to craft, send, sniff, and dissect TCP/UDP/ICMP/DNS packets, analyze pcap files, implement SYN scans, and detect anomalous traffic such as fragmented or malformed packets. Use when performing authorized network reconnaissance, protocol-level forensic analysis, or building traffic anomaly detection during security testing.

'Analyzes network traffic captures and flow data to identify adversary activity during security incidents, including

'Analyzes network traffic generated by malware during sandbox execution

'Captures and analyzes network packet data using Wireshark and tshark

Parse Office 365 Unified Audit Logs via Microsoft Graph API to detect