Audits Powered by Advanced Tooling

We combine manual code auditing techniques and custom automated security testing infrastructure to systematically validate security invariants across millions of execution paths, providing security guarantees that just by manual analysis alone cannot be achieved

Three-Phase Audit Methodology

Traditional audits depend on manual review, limiting how much code can be tested. Our automation tools systematically explore millions of execution paths, while our security engineers focus on validating complex business logic and architectural risks and modelling

01
Invariant Specification & Protocol Modeling
Map security-critical properties, state machines, and economic invariants that define protocol correctness, establishing validation criteria that will guide automated testing while ensuring spotted edge-cases are correctly modelled.
02
Automated Security Testing & Analysis
Deploy our complete tooling suite, involving Solaris for custom fuzzing infrastructure for state space exploration, Radiant for directed complex invariant testing, and Eloizer for source-level vulnerability detection.
03
Expert Validation & Remediation
Security Engineers analyze automated findings, validate business logic invariants and provide architectural guidance, ensuring discovered vulnerabilities are understood in full protocol context

Purpose-Built Fuzzing Infrastructure for Solana

Off-the-shelf fuzzing tools cannot effectively test Solana smart contracts. We have engineered a complete instrumentation and fuzzing stack specifically for sBPF bytecode, enabling capabilities that distinguish our audits from traditional security firms

Program Analysis & State Space Exploration

We model protocol state machines and construct decision trees that guide our fuzzing tools toward critical state transitions, using schema-driven input generation to track instruction sequences and systematically explore execution paths and discover vulnerabilities in complex protocol logic.

Bytecode-Level Coverage Instrumentation

Traditional audits cannot quantify code coverage. Our custom sBPF runtime instrumentation tracks execution at the bytecode level, providing empirical metrics on audit thoroughness.

Program Bytecode
0x1000 mov r1, r2
0x1008 add r1, #100
0x1010 jeq r1, #0, +5
0x1018 call 0x2000
0x1020 ldxdw r0, [r10]
0x1028 exit
→
Edge Coverage
67%
Unique Edges
1,247
New Paths
423

Structure-Aware Input Generation

Random fuzzing generates invalid inputs rejected early in execution or during deserialization. Our schema-aware mutation engine respects protocol data structures and instruction formats, ensuring test cases penetrate deep into program logic.

Mutating Schema
message VaultInstruction {   uint64 amount = 1000;   bytes destination = 11111111111111111111111111111111;   optional AccountMeta signer = {     bytes pubkey = TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA;     bool is_writable = true;   }; }
Fuzzing...

Automated Invariant Validation

Our automated framework tests invariants across millions of execution paths, systematically validating critical security properties and security guarantees.

Balance Conservation
Σ(balances) = constant
✓ Passing
Access Control
authorized(caller) → allowed(action)
✓ Passing
State Consistency
total_supply ≥ Σ(holdings)
✓ Passing
Overflow Protection
∀x: x + y ≤ MAX_U64
⟳ Checking
Validating Invariants...

Ready to Elevate Your Security Standards?

Our automated testing infrastructure delivers advanced security validation that becomes a cornerstone of your protocol's security posture.

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