BlackHartBlackHart
D1

Access Control

Permission models, admin surface, reentrancy protection, and authorization boundaries. #1 exploit vector by dollar loss in DeFi history.

Weight 18%70% confidence
55
Moderate
info

How This Score Is Built

Permission models, admin surface, reentrancy protection, and authorization boundaries. #1 exploit vector by dollar loss in DeFi history.

+23Strong positive
+12Positive
+5Slight positive
−15Strong negative
−8Negative
−3Slight negative

Scoring Tree

BRI Formula
300 + 700 × ∏(Dᵢ/100)^wᵢ
721
Current BRI
D1Access Control
Weight 18%
55
(55/100)^0.18 = 0.8980
Contributing Factors
+14Owner-based ACL (no role separation: owner controls strategy migration, token rescue, fee config)
+14Strategy has separate keeper/strategist/manager roles but all controlled by same Beefy team
+14Vault owner can call inCaseTokensGetStuck (rescue) but cannot touch want token
+14earn() is fully permissionless with no rate limiting
-45No on-chain timelock for most admin functions (only strategy migration has approvalDelay)
Evidence Sources
protocol_metadataJan 1
protocol_metadataJun 1
blackhart_analysisMay 17sha256:516b7d4fceaf....View

Score Composition

-45

No on-chain timelock for most admin functions (only strategy migration has approvalDelay)

+14

Owner-based ACL (no role separation: owner controls strategy migration, token rescue, fee config)

+14

Strategy has separate keeper/strategist/manager roles but all controlled by same Beefy team

+14

Vault owner can call inCaseTokensGetStuck (rescue) but cannot touch want token

+14

earn() is fully permissionless with no rate limiting

Evidence Chain (3 files)

GitHub APIMay 17, 2026, 06:58 PM
open_in_newGitHub (/)
sha256:516b7d4fceaf...
Audit ReportJun 1, 2022, 12:00 AM
Audit ReportJan 1, 2021, 12:00 AM

Score History

No dimension-level score changes recorded yet.

Methodology: 2.1Formula: 1.1Weights: 1.1