WORKBENCH / ATTACK / ARTIFACT ANALYZER
Artifact Authority Analyzer
Artifact Authority Analyzer for AI agent, MCP, browser-native, and infrastructure artifacts.
Map what an artifact is, attack its exposed authority surfaces, defend with prioritized review guidance, and prove findings with evidence-ready reports.
SecEng Artifact Analyzer combines native parsing, Rust and Go runtime intelligence, and agentic authority inference to turn static evidence into analyst priorities: what an artifact appears able to do, what authority surfaces it exposes, and what should be reviewed next.
Important caveat
This is not a decompiler replacement. It is a structured triage and evidence workflow for understanding what an artifact appears to be, what it appears capable of doing, and what requires deeper analyst review.
Sample analysis output
Static demo panel
Format
ELF x86_64
Language
Go, high confidence
Analysis mode
Static-first
Output class
Evidence pack ready
Rust / Go / generic
binaries covered
Static-first
analysis posture
Third-party
tool adapters
Secrets + prompts
extraction focus
Evidence packs
export target
What it analyzes
Built for modern AI and security artifacts.
The riskiest executables are no longer only classic malware samples. Teams are shipping agents, MCP servers, local copilots, native browser helpers, CLIs, updaters, and infrastructure tools, often in Rust or Go, often with broad authority.
Rust binaries
Detect crate markers, demangled symbols, panic/runtime evidence, async/runtime/webview/AI provider hints, crypto and system capability signals, and authority-related patterns.
Go binaries
Recover Go build info, module/package paths, function names, GoReSym/Redress signals, process/network/plugin/container/Kubernetes/MCP markers, and embedded retrieval or provider clues.
Agent and MCP artifacts
Find tools/list, tools/call, resources/list, prompts/list, JSON-RPC, stdio/SSE/HTTP, browser bridge markers, model provider signatures, retrieval or vector store authority, and tool execution intent.
Generic executables
Extract format, architecture, sections, imports, symbols, entropy, stripped/packed hints, language/runtime by inference, authority signals, and evidence quality caveats across ELF, PE, and Mach-O.
Analysis workflow
Map the artifact. Attack the assumptions. Export the evidence.
Map
Fingerprint the binary. Format, architecture, hashes, sections, imports, symbols, strings, compiler markers, Go and Rust runtime clues, package or crate hints, and embedded configuration.
Attack
Classify exposed authority surfaces. Process, network, filesystem, credential, persistence, agent, MCP, browser, provider, and retrieval signals are all surfaced for review.
Defend
Turn findings into prioritized review guidance. YARA drafts, checklists, hardening notes, and control recommendations help teams close gaps without false claims.
Prove
Produce evidence-backed output. Graph JSON, Mermaid exports, public-safe summaries, review checklists, and analyst-ready evidence bundles keep findings reproducible.
Third-party tools we orchestrate
Use the best tools. Normalize the evidence.
The analyzer should not reinvent Ghidra, GoReSym, capa, rizin, LIEF, YARA, or rust demangling. It should orchestrate them, compare their outputs, and package the evidence into a consistent SecEng finding model.
Ghidra Headless
Automate function, symbol, string, xref, and decompiler export workflows without turning the page into a reversing console.
GoReSym + Redress
Recover Go build info, runtime metadata, stripped symbols, package paths, and recovered structure.
capa
Detect capability patterns for malware-like and suspicious executable behavior.
rizin / rabin2 / radare2
Extract sections, imports, symbols, strings, entropy-like summaries, and format metadata quickly.
Goblin
Parse ELF, PE, and Mach-O basics natively: format, architecture, sections, imports, symbols, entropy, and stripped/packed indicators.
rustfilt / rustc-demangle
Demangle Rust symbols where symbol data survives optimization or stripping.
YARA
Draft stable detection output from artifact indicators that can be operationalized later.
Existing SecEng scanners
Pass extracted strings through secret, prompt, and corpus scanners so embedded keys and instructions become first-class findings.
What the report produces
Reports analysts can use and buyers can understand.
Artifact facts
Hashes, format, architecture, size, section summary, language or runtime guess, compiler evidence, and tool output provenance.
Capabilities
Network, process, filesystem, crypto, persistence, credential, agent, MCP, RAG, and supply-chain behavior signals.
Embedded evidence
URLs, domains, IPs, file paths, environment variables, command strings, suspicious package or crate markers, embedded prompts, and redacted secrets.
Risk findings
Prioritized findings with severity, confidence, rationale, evidence references, caveats, and analyst next steps.
Exports
artifact.analysis.json, artifact.report.md, artifact.public-summary.md, artifact.iocs.json, artifact.yara, graph.json, summary-card.json, and evidence bundle exports.
Why Rust and Go deserve a dedicated workflow
Go and Rust are not generic C-like binaries.
Go and Rust binaries are increasingly common in agents, security tools, cloud infrastructure, malware, DevOps utilities, and local AI systems. They are also different from traditional C/C++ artifacts. Go often leaves recoverable runtime metadata. Rust often requires compiler-aware heuristics around symbols, panic strings, crates, traits, async runtimes, and optimized control flow.
Go-first recovery
- Go build info and GoReSym/Redress recovery
- pclntab and moduledata markers
- Package path and module hints
- Function name recovery where possible
- Process/network/plugin/container/Kubernetes/MCP clues
- Suspicious package classification
- Statically linked runtime and dependency evidence
- os/exec, syscall, net/http, crypto/tls, plugin markers
Rust-aware triage
- rust_begin_unwind and panic markers
- Demangled symbols where available
- Crate, module, and path leakage
- tokio, hyper, reqwest, serde, clap, anyhow, ring, rustls, openssl markers
- Async/runtime, webview, AI provider, and native host signals
- std::process::Command and filesystem markers
- Next functions or strings to inspect
- Caveats for stripped and optimized release builds
Example findings
Finding cards with severity labels.
Embedded credential or private key detected
Extracted binary strings contained a redacted token, private key marker, database URL, or API credential.
Process execution capability
Artifact contains os/exec, std::process::Command, shell invocation, child process, or suspicious command markers.
MCP tool authority markers
Artifact appears to expose or call tools/list, tools/call, resources/list, prompts/list, initialize, or JSON-RPC capability flows.
Browser-native bridge markers
Artifact contains Chrome/Firefox native messaging, extension bridge, macOS path, or Windows registry markers tied to browser authority.
Model provider or local AI marker
Artifact contains OpenAI, Anthropic, Gemini, Azure, Bedrock, Ollama, local runtime, or embedding-retrieval authority markers.
Go runtime metadata recovered
Go runtime structures or build info were found, enabling package and function recovery and deeper review.
RAG or vector tooling marker
Artifact contains embedding, vector_store, retriever, pgvector, qdrant, weaviate, chroma, pinecone, or reranking markers.
Low evidence visibility
Binary appears stripped, packed, high-entropy, or low-symbol, requiring dynamic analysis or deeper manual reversing.
Product modes
Use it three ways.
Quick triage
Upload or import artifact facts and get a fast language, runtime, capability, and authority risk report.
Rust / Go deep profile
Run Rust and Go-specific recovery and generate analyst targets for runtime, compiler, and capability review.
Agent / MCP profile
Surface agent, MCP, browser, and provider authority markers so security teams can review exposed surfaces before release.
Evidence and graph export
Export findings, IOCs, report briefs, graph JSON, Mermaid diagrams, and evidence bundles for review workflows.
Honest limitations
What this does not claim.
It does not prove a binary is safe.
It does not replace manual reverse engineering for high-risk cases.
It does not guarantee source recovery.
It does not execute suspicious binaries by default.
It does not publish raw proprietary strings, secrets, or client evidence.
Stripped, packed, obfuscated, or runtime-configured artifacts reduce confidence.
Dynamic behavior may require sandbox execution under explicit authorization.
Report framing
Based on analyzed job-description signals, not proof of any individual company's internal security maturity.
Outputs are designed for
Final CTA
Need to understand what authority an artifact exposes and what to review next?
Start with a scoped artifact review. We'll map the artifact, surface exposed authority surfaces, identify risk signals, recommend deeper analysis, and package evidence for security, product, and governance review.