WestwyrdWestwyrd/adversarial
VenturesAdversarial
RED TEAM OPERATIONS · CONTINUOUS ADVERSARIAL TESTING

Adversarial
Testing

Westwyrd operates under continuous adversarial testing conditions. Security validation is not a milestone — it is a persistent operational mode with no termination condition.

WHITE-BOXBLACK-BOXGREY-BOXPROOF FORGERYCIRCUIT INTEGRITYECONOMIC ATTACKSQUANTUM READINESS
Methodology
3 Types
Integration
48h Update
Coverage
Full Stack
Tooling
Slither+Echidna
Scope
7 Surfaces
Mode
Continuous
01TESTING COVERAGE MATRIX
SURFACE
WHITE-BOX
BLACK-BOX
GREY-BOX
Smart Contracts
✓ Formal verification
✓ Fuzz testing
✓ Hybrid
ZK Circuits
✓ Constraint analysis
— Not accessible
✓ Output testing
Bridge Logic
✓ State machine
✓ Bridge probing
✓ Hybrid
API Surface
✓ Code review
✓ Penetration
✓ Hybrid
Governance
✓ Privilege escalation
✓ Social engineering
✓ Hybrid
Sequencer
✓ Ordering analysis
✓ Censorship testing
✓ Hybrid
Key Management
✓ HSM evaluation
— Not accessible
— Controlled
Oracle Feeds
✓ Manipulation modeling
✓ Price deviation
✓ Hybrid
01TESTING METHODOLOGIES

The adversarial testing program employs a comprehensive methodology matrix spanning white-box testing with full protocol access, black-box external attacker simulations, and grey-box partial disclosure scenarios. Each methodology targets a distinct threat model and provides complementary coverage of the protocol's attack surface. The program is continuous — new attack vectors discovered in the broader blockchain security ecosystem are incorporated into the testing framework within 48 hours of public disclosure.

White-box testing provides the deepest level of analysis. Internal security teams and authorized third-party auditors operate with complete access to source code, architecture documentation, deployment configurations, and historical audit findings. This access enables systematic analysis of complex attack chains that span multiple protocol components — the type of vulnerability systematically missed by surface-level penetration testing. White-box assessments include formal verification of smart contract invariants, circuit constraint analysis for proof manipulation vectors, and inter-layer consistency verification.

Black-box testing simulates the perspective of an external attacker with no prior knowledge of system internals. Independent security researchers are provided only with publicly available documentation and API endpoints. Grey-box testing operates under controlled information asymmetry — testers receive partial documentation and must discover remaining system behavior through active probing, modeling the threat posed by a motivated attacker who has obtained partial insider access through social engineering or supply-chain compromise.

Coverage Summary
Smart ContractsFULL
ZK CircuitsPARTIAL
Bridge LogicFULL
API SurfaceFULL
GovernanceFULL
SequencerFULL
Key ManagementPARTIAL
Oracle FeedsFULL
02TESTING SCOPE
Cryptographic Attacks
Proof forgery — adversarial Groth16 proof generation for invalid state transitions
Hash collision under algebraic attack models targeting Poseidon
Commitment binding — Pedersen binding property under discrete logarithm assumptions
Signature key recovery under fault injection conditions (EdDSA)
Economic Attacks
Oracle manipulation via artificial price deviation through thin-market exploitation
Liquidity stress — coordinated withdrawal designed to exhaust bridge reserves
MEV extraction — front-running, back-running, and sandwich attack patterns
Governance capture via voting power accumulation and flash-loan strategies
Infrastructure Attacks
Sequencer liveness — forced-inclusion mechanism under censorship and unresponsive conditions
Relay Byzantine fault tolerance of the watchtower network under N-of-M adversarial conditions
HSM side-channel analysis, firmware extraction, physical access scenarios
Eclipse attacks, BGP hijacking, DNS poisoning targeting RPC infrastructure
03TESTING PHASES
Engagement Lifecycle
01
Reconnaissance
Surface enumeration, endpoint mapping, public repo analysis — modeling the initial stage of a targeted attack campaign.
02
Attack Surface Mapping
Risk categorization with modified CVSS v3.1 scoring adapted for blockchain-specific attack vectors.
03
Vulnerability Identification
Slither, Mythril, Echidna automated tooling plus manual expert analysis of smart contracts and ZK circuits.
04
Exploitation & PoC
Sandboxed environment replicating production conditions — confirmed severity and real-world impact assessment.
05
Remediation & Verification
Secondary review by uninvolved tester ensures unbiased validation that the remediation is effective.
Advanced Testing Capabilities
Proof Forgery Simulation
Adversarial Groth16 proof generation for invalid state transitions — tests soundness property under parameter manipulation
Circuit Integrity Attacks
R1CS edge cases, under-constrained variable analysis, and constraint relaxation probing
Governance Injection
Flash-loan governance attacks, time-lock bypass strategies, unauthorized proposal execution
Bridge State Confusion
Cross-domain message manipulation, L1/L3 state inconsistencies, challenge-response testing
Quantum Readiness
Lattice-based forge attempts, Grover-accelerated hash collision, Dilithium PQC candidate evaluation
Continuous Integration

Testing is continuous and event-driven. New attack vectors incorporated within 48 hours of discovery.