Balancer
MITHRILDEX / AMM · Multi-chain · $2B+ TVL · 20 contracts
Public risk assessment — scores are produced with the same methodology as monitored protocols
Security Profile
85
82
85
78
85
82
59
85
82
100
85
82
85
78
85
82
59
85
82
100
Audit History
Bug Bounty Program
Assessment
Innovative weighted AMM with deep composability. D4 penalized for rate provider chains and nested pool complexity. D2 reflects boosted pool economic complexity. Solid 66-month track record with no drains.
Dimension Breakdown
How scores work →- Authorizer contract with granular role-based permissions
- Emergency DAO multisig for critical actions
- Timelock on governance parameter changes
- Pool-level admin delegated to pool creators
- Weighted pools with generalized AMM math
- Boosted pools add yield-bearing complexity
- Rate provider mechanism for LST/wrapped assets
- Flash loans available but bounded by pool liquidity
- Rate providers for LST pricing (stETH, rETH, etc.)
- Chainlink integration for external price feeds
- Rate provider chain introduces oracle composition risk
- Price manipulation bounded by pool depth
- V1 live since 2020, V2 since 2021 (66+ months org history)
- No protocol-level drain exploit
- Rate provider vulnerabilities found but contained
- Multiple audit firms over lifetime
- Z-factor: 0.917
- veBAL governance model with voting escrow
- Emergency multisig for rapid response
- Active governance participation
- Balancer DAO manages protocol parameters
- Score derived from continuous adversarial security research
- Professional operations team
- Multi-chain deployment monitoring
- Active parameter management via governance
- Comprehensive test suites and CI/CD
- Boosted pools compose with external yield sources
- Nested pools create multi-layer composition
- Rate provider chains can propagate pricing errors
- Deep DeFi integration (Aura, Gyroscope, etc.)
- Appears in 1 cross-protocol cascade chain(s)
- Member of 3 dependency cluster(s)
- Score: 100/100 (higher = more isolated from systemic risk)
- Source: cross_protocol_composition.json dependency analysis
- OpenZeppelin base libraries
- Complex custom math libraries (LogExpMath, FixedPoint)
- Well-maintained dependency set
- Verified on all deployment chains
Risk Drivers
Primary risk factors driving this score, ordered by severity.
Adversarial Risk Signals
Observable security posture indicators. These signals reflect publicly verifiable information and responsible disclosure outcomes. No specific vulnerability details are exposed.
Score History & Verification
Score provenance tracking begins with the next reassessment.
On-Chain Data
- Protocol Slug
- "balancer"
- Oracle
- BRORegistry (Base)
- Evidence
- IPFS (pinned)
- Staleness Threshold
- 24 hours
registry.getScore("balancer")Reduce exploitable risk
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