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README.md

Blitz Strike

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Blitz Strike

Reconnaissance at speed. Analysis in depth. Validation before report.

Blitz Strike is a structured penetration-testing methodology — reconnaissance, source analysis, and validation — delivered as a universal MCP server. It enumerates the attack surface (BLITZ), traces source-to-sink reachability (EAGLE-EYE), and verifies each finding live before it is reported (STRIKE). One server, every agent: scope enforcement to submission-ready findings in a single run_engagement call, with the relevant exploit-tool manual attached to every result.

A scan hit is a hypothesis. A live test is the verdict.

Blitz Strike exists to eliminate the two most common failure modes in automated security assessment: false positives from surface-level pattern matching, and unverified findings reported without live confirmation.


What it does

Blitz Strike is a Model Context Protocol (MCP) server (TypeScript / Bun) that packages a 3-tier security-audit methodology as callable tools — and runs the whole engagement server-side, so a single run_engagement call works from Claude Code, Cursor, Hermes, OpenCode, Claude Desktop, Gemini, or any MCP client.

The three tiers

Blitz Strike maps a structured penetration-testing methodology — reconnaissance, source analysis, and validation — into three tool tiers executed server-side.

TierNamePhaseWhat it does
1BLITZReconnaissance & attack-surface mappingEnumerates the exposed attack surface at scale: unauthenticated entry points, dangerous sinks, and authentication boundaries.
2EAGLE-EYEStatic analysis & data-flow tracingTraces source-to-sink reachability and enriches findings against the escalation-chain graph. Confirms a sink is reachable, unauthenticated, and exploitable — not merely present.
3STRIKEValidation & exploitationPerforms live verification (marker reflection + negative control), scope enforcement, and orchestration so a finding is confirmed before it is ever reported.

Reconnaissance → analysis → validation. Nothing is reported until STRIKE confirms it.


Autonomous, LLM-driven

Blitz Strike is driven by the LLM — Claude, Hermes, OpenCode, Codex, or any MCP client. The LLM is the brain (plans, routes, delegates, judges); Blitz Strike is the deterministic hands + knowledge + guardrails.

A full engagement is one call, or a granular agent-orchestrated cycle:

npx blitzstrike serve --mcp   # connect your agent, then ask it to
                              #   "audit ./src" (source) or "audit https://example.com" (live)

The LLM classifies the target automatically (URL → live pipeline, filesystem path → source pipeline), then drives recon → analyze → verify → review → report — guided by the bundled doctrine (instructions + skills + per-step next_steps) and fanned out across the platform's native sub-agents.

Autonomy & doctrine — how the LLM is steered.

Why TypeScript / Bun

  • Single static binary via bun build --compile — ship one executable per platform.
  • Zero-install distribution via bunx blitzstrike / npx blitzstrike.
  • MCP TypeScript SDK first-class (@modelcontextprotocol/sdk).
  • One toolchain for dev + test + build + compile.

Quickstart (30 seconds)

# Zero-install — works from any MCP client, no clone, no build
npx -y blitzstrike doctor        # verify the environment
npx -y blitzstrike install       # auto-register with every detected agent CLI

npx blitzstrike install detects every installed agent CLI (Claude Code, Cursor, OpenCode, Codex, Hermes, Gemini, Windsurf, Copilot, Cline) and writes the correct MCP config to each one in its native format. Restart your agent and call run_engagement.

From source:

git clone https://github.com/shinthink/blitzstrike.git
cd blitzstrike
bun install
bun run src/index.ts serve --mcp

Client Configuration (works in any MCP client)

{
  "mcpServers": {
    "blitzstrike": {
      "command": "blitzstrike",
      "args": ["serve", "--mcp"]
    }
  }
}
  • Claude Code / Desktop: claude_desktop_config.json or .mcp.json
  • Cursor: .cursor/mcp.json
  • OpenCode: .mcp.json
  • Hermes: mcp_servers: in config.yaml
  • Gemini / Copilot: native MCP config

Run blitzstrike install to print the exact snippet.


CLI

blitzstrike serve --mcp       # start MCP server over stdio (default)
blitzstrike doctor            # health check: runtime + 130-tool catalog + creds
blitzstrike install           # write MCP config to detected clients (Claude/Cursor/OpenCode)
blitzstrike install --dry-run # preview the config without writing
blitzstrike sync-data         # fetch heavy datasets (payloads + templates) on-demand
blitzstrike update            # check for a newer version + refresh the data cache
blitzstrike version           # print version

What doctor checks

CheckStatus you'll see
Runtime (bun/node)OK / FAIL + fix
Security tools catalog63/130 installed, 67 on-demand
FOFA credentialsOK / WARN + fix
Data layers (chains + tools-catalog)present / missing

Each issue carries a fix: line — no guessing.

What install does

blitzstrike install detects which MCP client config files already exist (Claude ~/.claude.json, Cursor ~/.cursor/mcp.json, project .mcp.json) and merges the Blitz Strike server entry in — it never overwrites your existing MCP servers. With no client detected, it prints the snippet for manual paste.


Tools

BLITZ — attack-surface triage

ToolPurpose
blitz_scan(path, max_files)Scan a source tree: enumerate unauth entry points + dangerous sinks with file:line refs.
blitz_file(path)Same scan, single file.

EAGLE-EYE — deep trace

ToolPurpose
eagle_eye(path, symbol)Return a function's full body, sinks in scope, and auth gates in scope.
eagle_grep(path, sink, max_hits)Precision sink grep — report a hit ONLY inside a function body, flagged guarded/un-guarded.
enrich_scan(path, max_files)Scan + match detected sinks to escalation chains (chains.json).

STRIKE — verify + recon + orchestrate

ToolPurpose
strike_verify(url, method, data, headers, marker, timeout)Live HTTP verification with marker + negative control + baseline.
strike_resolve(finding, verdict)Attach a live STRIKE verdict to a finding and advance its lifecycle.
scope_check(target, scope, mode)Enforce scope before active testing (no-DoS, exclusion-aware, mode-gated).
run_engagement(target, scope, mode, max_files)Full 3-tier audit in ONE call — scope gate → triage → chain enrichment → findings.
list_chains()List all escalation chains in the data layer.
fofa_search(query, size, fields)FOFA asset index search (needs FOFA_EMAIL + FOFA_KEY).
nvd_lookup(cve_id)CVE lookup from NVD 2.0 (no key required).
live_recon(url)Modular passive-first recon: fingerprint, WAF/tech/version, crawler, params, subdomains, Wayback, API discovery, port scan.

CATALOG — breadth layer (tools + skills knowledge base)

ToolPurpose
tool_lookup(name)Look up a tool's command + flags + install + check.
list_tools()List all catalog tools, grouped by category.
skill_lookup(topic)Search the skills/ playbook knowledge base by topic.
list_skills()List all skill playbooks.
read_skill(name)Read the full content of a playbook.
ensure_tool(name)Check if a tool is installed; if not, auto-install it.

MANUALS — deep tool reference + playbooks (wired into flow)

ToolPurpose
read_tool_manual(name)Read a full deep manual for a tool (317+ manuals).
list_manuals()List all manuals + playbooks.
read_playbook(name)Read an engagement playbook (web-app, api-security, AD, etc.).
list_playbooks()List all 17 engagement playbooks.

PHASE 4 — verification, measurement, reporting

ToolPurpose
cvss_score(AV, AC, PR, UI, S, C, I, A)Compute a deterministic CVSS v3.1 base score + vector + severity (self-computed, not read from NVD).
dedup_findings(findings)Collapse findings that share a root cause (sink × source × CWE) into one group per root cause.
generate_report(findings, format)Emit a reproducible markdown/JSON report with summary + SHA-256 integrity hash.
run_enterprise_benchmark()Run the labelled enterprise corpus and report detection rate, false-positive rate, and precision.
coverage_matrix()Enumerate language × sink-class coverage (4 languages × 15 sink classes) + coverage ratio.

EAGLE-EYE — taint + data-flow

ToolPurpose
taint_file(path)Inter-procedural taint analysis (PHP) — reachable, sanitized, authorized sinks.
taint_scan(code, language)Universal taint analysis (PHP/JS/TS/Python/Java) with source→sink tracing.
taint_tree(path)Taint propagation tree — how a source flows to a sink.
trace_data_flow(path)Window-based data-flow trace with sanitizer + auth-gate awareness.
variant_analysis(path)Group reachable sinks into variant families.
list_languages()List supported analysis languages + extensions.

INTELLIGENCE — data layer (WAF + correlations + fuzzer)

ToolPurpose
detect_waf(headers, body)Detect a WAF from response headers/body (139 signatures).
tech_correlation(tech)Correlate tech to known vulns + CVEs (89 technologies).
cve_correlation(cve)Correlate CVE to product + targets + severity (53 CVEs).
port_correlation(port)Correlate port to service + attack vectors (103 ports).
fuzzer_payloads(category)Fuzzing payloads + vulnerable patterns + chain rules.
intel_summary()Counts of every intelligence dataset.
payload_lookup(topic)Find exploit payloads (66 categories from PayloadsAllTheThings).
read_payload(category)Read a full payload collection.
template_lookup(topic)Find nuclei detection templates (11.9k YAML signatures).
list_attack_vectors()List the full web attack-vector taxonomy (34 categories, 588 vectors).
attack_vectors(category)Enumerate the vector list for one category (e.g. ssrf, business logic, ai/llm).
check_update()Query the npm registry for the latest blitzstrike version.

The intelligence layer (WAF signatures, tech/CVE/port correlations, fuzzer data, vuln ontology, exploit payloads, nuclei detection templates) is sourced from airecon (MIT), PayloadsAllTheThings (MIT), and nuclei-templates (MIT) — loaded at runtime and wired into the tool surface above. The attack-vector taxonomy (intelligence/attack_vectors.json) is first-party.

317 indexed tool manuals + 17 playbooks from kali-pentest (Apache-2.0) — 334 manual files, 100% of the 130-tool catalog documented. These are NOT decoration — they are wired into the flow:

  • tool_lookup(name) auto-attaches the tool's full manual.
  • run_engagement() attaches the relevant manual per matched chain's tools field.

MEMORY — long-term knowledge (self-growing)

ToolPurpose
remember(topic, content, type, tags, verified)Save a reusable insight (deduped). verified=true only if marker reflected + negative control inert.
memory_lookup(query)Search memory by topic/tag/content, scored.
memory_list()List all memory entries, grouped by type.
memory_forget(id)Remove a memory entry (append-only tombstone).
confidence_weights(...)Get or set the confidence-scoring weight factors.
finding_attach_evidence(finding, type, description, content)Attach a redacted + hashed evidence record to a finding.

Memory is append-only JSONL at ~/.blitzstrike/memory.jsonl (override with BLITZSTRIKE_HOME). run_engagement auto-captures matched escalation chains as pattern entries (deduped by chain id), so the knowledge base grows with every engagement — no duplicate spam, and only verified=true entries are authoritative.


Tools Catalog (tools-catalog.json)

130 self-written security tools (not copied from any project), each with command base, key flags, install command per platform, check_installed probe, phase, tags, alternatives, requires_root, pipes, and homepage.

CategoryCountExamples
recon23subfinder, amass, httpx, naabu, katana, trufflehog
exploitation13sqlmap, commix, dalfox, hydra, hashcat, phpggc
blue-team (defensive)13suricata, zeek, osquery, wazuh, sigma, yara, trivy
reverse-engineering12ghidra, radare2, gdb, pwndbg, angr, binwalk
enumeration11nuclei, ffuf, gobuster, arjun, wafw00f
forensics10volatility3, autopsy, tshark, foremost, steghide
active-directory8netexec, impacket, bloodhound, certipy, kerbrute
mobile7frida, objection, mobsf, apktool, jadx
post-exploitation6linpeas, pspy, chisel, ligolo-ng, pwncat
red-team6sliver, havoc, metasploit, evilginx3, gophish
utility6curl, jq, anew, notify
web4wpscan, joomscan, droopescan, cmseek
wireless4aircrack-ng, wifite, bettercap
cloud4pacu, prowler, scoutsuite, cloudfox
crypto3hashid, ciphey, rsactftool

Skills Knowledge Base (skills/)

32 skill playbooks (markdown) — universal, license-safe hidden gems from the internet (MIT). Our personal attack-tree playbooks were removed (they were private methodology, not universal exploit scripts).

  • adversary-playbook (14, MIT)ap-* prefix. Rare offensive playbooks: cross-forest-trust-abuse, gitea-ci-injection, kerberos-trust-abuse, multi-domain-ad-attacks, client-side-crypto-forgery.
  • hack.proof (18, MIT)hp-* prefix. End-to-end audit playbooks: full-security-audit, smart-contract-audit, api-security-test, sast-code-review, container-image-scan, iac-cloud-posture.

See ATTRIBUTION.md for full license/copyright notices.


Escalation Chains (chains.json)

57 data-driven escalation chains, each with ordered steps carrying:

  • tool_hint — which Blitz Strike tool to use
  • success_criteria — binary observable for the step
  • invariant_check — the assumption that MUST hold for exploitation
  • negative_control — how to refute the finding

Examples: ssrf_cloud_metadata, lfi_log_poison_rce, appkey_leak_deserialization_rce, hmac_empty_key_forgery, intval_form_id_bypass, extract_variable_injection_lfi, split_controller_upload_bypass, race_condition_double_spend, ssti_template_injection_rce, jwt_alg_confusion_forgery, cache_poisoning_xss, subdomain_takeover, and more.

Edit chains.json to add knowledge — never hardcode in source.


Environment Variables

VariableRequiredPurpose
FOFA_EMAILFor fofa_searchFOFA account email
FOFA_KEYFor fofa_searchFOFA API key
H1_USERNAMEOptionalYour HackerOne username. When set, every outbound security-testing request carries X-HackerOne-Research: <username> so targets/triagers can identify you (responsible-disclosure convention).
BLITZSTRIKE_HOMEOptionalOverride the home directory (default ~/.blitzstrike).
BLITZSTRIKE_DATAOptionalOverride the data-cache directory (default ~/.blitzstrike/data).

All other tools need no credentials.


Build

bun install          # deps
bun run typecheck    # tsc --noEmit
bun run build        # ESM bundle → dist/index.js
bun run test         # regression + benchmark suite (183 checks)
bun run compile      # single static binary → dist/blitzstrike

Quality (measured, not claimed)

Blitz Strike carries a benchmark suite and a coverage matrix so quality is a number you can re-run, not a claim.

  • Benchmark (run_enterprise_benchmark) — a labelled corpus of vulnerable + safe fixtures across PHP, JavaScript, Python, and Java. Current result: detection rate 1.0, false-positive rate 0, precision 1.0.
  • Coverage matrix (coverage_matrix) — 4 languages × 15 sink classes = 56/60 pairs covered. The four uncovered pairs are legitimately absent from the language (e.g. Java has no eval, Python/Java no PHP-style file inclusion, JS no deserialization sink).
  • Attack-vector taxonomy (list_attack_vectors / attack_vectors) — a master reference of 34 attack-vector categories (588 vectors) so a driving agent can map the entire attack surface, not just the obvious sinks.
  • Regression suitebun run test runs 183 checks covering finding lifecycle, evidence integrity, CVSS math, taint tracing, dedup, report integrity, and benchmark invariants. CI runs it on every push.

Methodology Notes

  • Sink ≠ vuln. A dangerous function in the same file as an unauth handler does not mean the handler calls it. Use eagle_eye to confirm scope.
  • File write ≠ RCE (CF-003). A writable file must be loaded by the runtime to be execution.
  • Default server config only. Default Apache FilesMatch .+\.ph(ar|p|tml)$ has a $ anchor — .php.jpg does not execute.
  • Every finding is a HYPOTHESIS until strike_verify reflects your marker AND the chain's negative_control stays inert.

Disclaimer

This tool is provided for educational and authorized security research only. Do not use against systems without explicit permission from the owner.


Further Reading

关于 About

⚡ Blitz Strike — a universal MCP penetration-testing toolbelt. Structured methodology: reconnaissance & attack-surface mapping, source-to-sink analysis, and live validation. 57 escalation chains, 130-tool catalog, intelligence data layer. One server, every agent.
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语言 Languages

TypeScript88.5%
Python8.8%
ASP.NET0.8%
PHP0.6%
XSLT0.5%
Classic ASP0.3%
JavaScript0.1%
Java0.1%
Ruby0.1%
Jupyter Notebook0.1%
HTML0.0%
Shell0.0%
Hack0.0%

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