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rubric v1.7.0

Collateralization under stress

A economic risk factor in the v1.7.0 rubric. Measured per protocol on a e cadence.

Methodology how we score #

**What this measures** This factor evaluates whether, under a curator-defined stress scenario, the protocol's net collateralization falls below one hundred ten percent. The stress scenario applies a standardized asset price shock (typically a thirty percent single-day decline in all collateral assets simultaneously) and recomputes the aggregate collateral-to-debt ratio using on-chain position data. The measurement is sourced from curator simulation plus documentation and is updated on a slow cadence. This factor applies to lending protocols only; it is N/A for non-lending protocols.

**Why it matters** Under-collateralization under stress is the economic failure mode that transforms an oracle manipulation attack into a total loss event. When collateral prices fall faster than liquidation mechanisms can clear positions, the protocol accumulates bad debt. The Terra/Luna collapse demonstrated how algorithmic stabilization mechanisms can accelerate under-collateralization once collateral confidence breaks. Several lending protocols in the dataset accepted governance tokens as collateral with collateral factors above fifty percent -- meaning a governance token price drop of more than fifty percent would immediately push positions underwater. Under the stress scenario test, these positions would have appeared underwater in every crisis period in the dataset.

**Green / Yellow / Red** Green: net collateralization remains above one hundred fifty percent under the stress scenario, indicating adequate buffer for tail scenarios. Yellow: net collateralization falls between one hundred ten and one hundred fifty percent under stress, indicating meaningful but manageable vulnerability. Red: net collateralization falls below one hundred ten percent under the stress scenario, indicating the protocol would accumulate material bad debt in a standard risk-off event.

**Common gray cases** Protocols that operate tiered isolation markets (where bad debt in one market cannot infect others) may present a less severe consolidated stress test outcome than their collateral composition suggests; curator must verify isolation boundaries before aggregating.

**Notable historical examples** No cross-hacked incidents currently linked in database for this factor.

Measurement what to look for #

Determine whether under curator-defined stress scenario (top-3 collateral assets drop 50%), protocol net collateralization falls below 110%.

Data & output #

Data source
Curator simulation using on-chain market data (collateral balances, borrow balances, price feeds) via RPC
Output format
Green / Yellow / Red
Evidence artifact
Simulation parameters + market data snapshot + result (collateral ratio under stress)
Confidence signal
green = collateral ratio >150% under stress; yellow = 110–150% under stress; red = <110% under stress; gray = collateral structure not simulatable from available data

Scored protocols 80 carry this factor #

Protocol RD-F-068
Aave v3 ethereum yellow Across Protocol ethereum gray Aerodrome Finance base not_applicable Axelar Network ethereum not_applicable Babylon Protocol bitcoin not_applicable Balancer (v2 + v3) ethereum gray Beefy Finance ethereum not_applicable BENQI avalanche yellow BlackRock USD Institutional Digital Liquidity Fund (BUIDL) ethereum not_applicable Cap (cUSD / stcUSD) ethereum yellow Centrifuge ethereum gray Chainlink CCIP ethereum not_applicable Circle USYC binance not_applicable Compound V3 (Comet) ethereum yellow Concrete ethereum not_applicable Convex Finance ethereum not_applicable crvUSD (Curve Stablecoin) ethereum yellow Curve Finance ethereum not_applicable deBridge ethereum gray Dolomite ethereum yellow dYdX v4 (dYdX Chain) dydx not_applicable EigenLayer ethereum not_applicable Ethena ethereum not_applicable ether.fi ethereum not_applicable Euler V2 ethereum yellow Falcon Finance ethereum not_applicable Fluid ethereum red Frax Finance ethereum yellow GMX v2 (GMX Synthetics) arbitrum yellow Hyperlane ethereum not_applicable Hyperliquid arbitrum not_applicable Jito solana not_applicable Jupiter solana yellow Jupiter Perpetual Exchange solana not_applicable JustLend DAO tron gray Kamino Lend solana yellow Kinetiq hyperliquid not_applicable Lido ethereum not_applicable Liquid Collective (LsETH) ethereum not_applicable Liquity V1 + V2 (LUSD / BOLD) ethereum green Lista DAO bsc yellow Lombard Finance ethereum green M^0 ethereum not_applicable Maple Finance ethereum yellow Marinade Finance solana not_applicable Meteora solana not_applicable mETH Protocol ethereum not_applicable Midas ethereum not_applicable Morpho V1 (Morpho Blue + MetaMorpho) ethereum yellow Multipli ethereum not_applicable Ondo Finance ethereum yellow OpenEden ethereum not_applicable Orca solana not_applicable PancakeSwap bsc not_applicable Pendle Finance ethereum not_applicable Polymarket polygon not_applicable QuickSwap polygon not_applicable Raydium solana not_applicable Rocket Pool ethereum not_applicable Sanctum solana not_applicable Save (formerly Solend) solana yellow Sky Lending (formerly MakerDAO) ethereum yellow Spark Protocol ethereum gray Spiko stellar not_applicable Stake DAO ethereum not_applicable StakeWise v3 ethereum not_applicable Stargate Finance ethereum gray stHYPE (Valantis Labs) hyperliquid not_applicable SUNSwap (sun.io) tron not_applicable Superstate ethereum not_applicable Sushi (SushiSwap) — v2 + v3 + Trident + BentoBox/Kashi + SushiXSwap ethereum not_applicable Symbiotic ethereum not_applicable Synapse Protocol ethereum not_applicable Uniswap (v2 + v3) ethereum not_applicable USDD (Decentralized USD) tron red Usual (USD0 / bUSD0 / USUAL) ethereum not_applicable Veda (BoringVault) ethereum not_applicable Venus Protocol bsc yellow Wormhole ethereum not_applicable Yearn Finance ethereum not_applicable

Linked hacks no historical incidents linked #

No historical incidents are linked to this factor.
rubric_version v1.7.0 factor RD-F-068 category 4 carried 80 critical no