Reverse engineer undocumented binary network protocols from packet captures and the client that speaks them — recovering framing and field structure, identifying length prefixes, opcodes, checksums and encryption, and building a Wireshark/Kaitai/scapy parser to replay or fuzz. Use when analyzing a proprietary TCP/UDP…
Reverse engineer minified, bundled, and obfuscated browser/Node JavaScript — unpacking webpack chunks, recovering source from sourcemaps, undoing obfuscator.io string-array and control-flow obfuscation with webcrack/synchrony/restringer, and locating a signing or crypto routine in a live bundle via Chrome DevTools.…
Reverse engineer React Native mobile apps, including Hermes bytecode bundles, using hbctool, hermes-dec, and Frida. Use when an APK contains index.android.bundle or libhermes.so, when an IPA contains main.jsbundle, when jadx shows only ReactActivity classes, or when a bundle file starts with the Hermes magic bytes…
Reverse engineer Unity games and apps built with IL2CPP or Mono, using Il2CppDumper, Il2CppInspector, and dnSpy. Use when an APK or IPA contains global-metadata.dat, libil2cpp.so, UnityFramework, or Assembly-CSharp.dll, when jadx shows only UnityPlayerActivity, or when the target is described as a Unity build.
Reverse engineer Xamarin and .NET MAUI mobile apps by extracting assemblies.blob and XALZ-compressed DLLs with pyxamstore, then decompiling with dnSpy or ILSpy. Use when an APK contains libmonodroid.so, libmonosgen, assemblies.blob, assemblies/.dll, or libxamarin-app.so, when an IPA contains Mono assemblies, or when…
Perform a security review of a diff, branch, or pull request — assessing what the change introduces, weakens, or exposes, with a triage-first workflow and false-positive discipline. Use when asked to security review a PR or branch, check a diff before merge or commit, or assess whether a change is safe to ship.
Review cryptographic implementations and protocol usage for misuse — weak primitives, nonce and IV handling, key management, authentication of ciphertext, randomness, timing side channels, TLS and JWT configuration, and password storage. Use when auditing code that encrypts, signs, hashes, or authenticates, or when…
Assess and harden LLM applications and agentic systems against prompt injection, tool misuse, excessive agency, memory poisoning, RAG data leakage, and model supply-chain risk, mapped to the OWASP Top 10 for LLM and Agentic Applications. Use when reviewing an AI feature, agent, MCP server, or RAG pipeline for…
Unpack and dump protected executables — UPX and commodity packers, custom crypters, commercial protectors like Themida and VMProtect, and .NET packers — by finding the original entry point, dumping from memory, and rebuilding the import table with Scylla, pe-sieve, or x64dbg. Use when a binary has high entropy, few…
Decide whether an agent skill, plugin, or MCP server is safe to install into an AI coding agent, where its content is loaded into a model's context and its config can run on startup. Use when reviewing a skill pack, Claude Code / Cursor / Cline plugin, or MCP server before adoption; when a repo ships a SKILL.md…
DFIR and detection built on preserve-first, base-rate discipline. 22 defensive security skills for SOC analysts, incident responders, and detection engineers: alert triage, malware and shellcode analysis, memory/disk/network forensics, phishing-email analysis, Windows endpoint DFIR, Linux persistence hunting…
Perform dead-disk forensics on an acquired disk image using The Sleuth Kit, Plaso, and bulkextractor — verify integrity and mount read-only, map partitions, recover deleted files, build a file-system and super-timeline, carve unallocated space, mine registry hives and OS artifacts, and detect anti-forensics. Use when…
Systematically identify and analyze persistence mechanisms on Linux systems during DFIR investigations -- sweep systemd units, cron jobs, shell initialization, SSH config, kernel modules, LDPRELOAD, package manager hooks, udev rules, container entrypoints, and XDG autostart entries. Use when investigating a…
Analyze suspected malware safely — containment, static triage, sandboxed detonation, unpacking, capability and C2 extraction, IOC production, and YARA rule authoring. Use when handed a suspicious file, hash, or sample, when triaging an alert artifact, or when producing detection content from a specimen.
Analyze volatile memory images (RAM dumps) using Volatility 3 — process enumeration, injected code detection, credential extraction, network artifacts, rootkit analysis, and timeline construction from memory-resident data. Use when examining a memory capture from a compromised host, hunting for injected code or…
Analyze packet captures and network telemetry for intrusion evidence — capture and handling, the Wireshark/tshark triage funnel, Zeek log mining, Suricata rule runs, beacon and DNS-tunnel detection, TLS/JA3 fingerprinting, HTTP and file carving, exfiltration hunting, and IOC handoff. Use when a .pcap or .pcapng…
Triage and forensically analyze reported phishing safely — extract the raw message, read the Received chain, verify SPF/DKIM/DMARC, detect display-name and lookalike spoofing, unwrap redirects and SafeLinks/URLDefense, decode quishing QR codes, triage attachments, and pull IOCs for hunting. Use when handed a reported…
Analyze raw shellcode and position-independent code — extracting the bytes, guessing architecture, disassembling at the right base, decoding self-decoder stubs, resolving hashed Windows APIs, emulating to the decoded stage, and pulling C2 and stage IOCs. Use when handed a raw blob of position-independent code, an…
Harden and monitor a Kubernetes cluster against the attacks that actually happen — RBAC least privilege and escalation paths, Pod Security Admission enforcement, network policy default-deny, secrets and service-account token exposure, control-plane and kubelet exposure, and audit-log-based detection. Use when…
Build, test, and tune detection content — Sigma, YARA, Suricata, and EDR/SIEM queries — mapped to MITRE ATT&CK with explicit false-positive analysis and detection-as-code practices. Use when writing or reviewing a detection rule, converting IOCs or TTPs into alerts, measuring detection coverage, or reducing alert…
Proactively harden a cloud account or organization before an incident — prioritizing IAM and identity risk over checkbox findings, closing the exposures that become attack paths (public storage, over-broad roles, missing audit logging, unencrypted data), reading CSPM output critically, and enforcing guardrails at the…
Run hypothesis-driven threat hunts across endpoint, network, cloud, and identity telemetry using stack counting, outlier analysis, and ATT&CK-based hypotheses, with SIEM query patterns for Splunk, KQL, and Elastic. Use when proactively searching for undetected compromise, validating an intel report against your…
Investigate security incidents in Amazon Web Services -- reconstruct attacker activity from CloudTrail, VPC Flow Logs, and GuardDuty, anchor the investigation on the compromised principal (access key or role), trace privilege escalation and persistence through IAM API calls, detect data exfiltration and crypto-mining…
Investigate security incidents in Microsoft Azure (resource and subscription control plane) -- reconstruct attacker activity from the Azure Activity Log and resource/data-plane diagnostic logs, anchor the investigation on the identity that made the calls (a user, service principal, or managed identity), trace…