Results for “jeff-bezos”

Mine a codebase or product for underexploited assets — capabilities, infrastructure, data, integrations, and workflows built for one narrow purpose that could produce far more value. Finds platform primitives hiding inside features, internal tooling that could serve customers, and data accumulated but never leveraged. Produces an evidence-gated report (max 5 opportunities, mandatory kill list, one forced answer) plus a wwbd_packet JSON. Use whenever the user says "WWBD", "what would Bezos do", "what are we sitting on", "what did we accidentally build", "what could this become", "find opportunities in this repo", "what are we underexploiting", "is there a product hiding in here", or wants to know if existing infrastructure has a bigger economic surface than it currently serves. Trigger on casual phrasings too ("anything valuable buried in this codebase?"). Analyzes what EXISTS — missing features go to gap-scan, broken code to code-audit, confusing flows to ux-audit, weak persuasion to conversion-audit.

Analyze Zeek network logs to detect lateral movement techniques including SMB admin share access, DCE/RPC remote service creation, NTLM account spray, Kerberos anomalies, and large internal data transfers.

Exploit the Zerologon vulnerability (CVE-2020-1472) in the Netlogon Remote Protocol to achieve domain controller compromise by resetting the machine account password to empty.

Detect Cobalt Strike beacon network activity using TLS certificate signatures, JA3/JA3S/JARM fingerprints, HTTP C2 profile matching, beacon jitter analysis, and named pipe detection via Zeek, Suricata, and Python PCAP analysis.

Runs an evidence-first, read-only workflow over large codebases via an external JSONL REPL server, retrieving only minimal file slices and greps to produce cited architecture and audit reports.

Detect business email compromise (BEC) attacks using email gateway rules, behavioral analytics, and financial process controls.

Deploy Zeek network security monitor to capture, parse, and analyze network traffic metadata for threat detection, anomaly identification, and forensic investigation.

Inspects metadata, hidden channels, and appended payloads in media files to recover concealed data in steganography challenges.