BlackHartBlackHart
D1

Access Control

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

Weight 18%80% confidence
75
Good
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
789
Current BRI
D1Access Control
Weight 18%
75
(75/100)^0.18 = 0.9495
Contributing Factors
+19Complex operator-delegator-AVS permission model
+19Restaking introduces multi-layered access control
+19Slashing conditions configurable per AVS
+19Withdrawal delays provide some protection
Evidence Sources
blackhart_analysisMay 4sha256:ae4a4fd3d858....View
blackhart_analysisMay 17sha256:f445a4944711....View

Score Composition

+19

Complex operator-delegator-AVS permission model

Strong positiveopen_in_newSource CodeMay 4, 2026
+19

Restaking introduces multi-layered access control

Strong positiveopen_in_newSource CodeMay 4, 2026
+19

Slashing conditions configurable per AVS

Strong positiveopen_in_newSource CodeMay 4, 2026
+19

Withdrawal delays provide some protection

Strong positiveopen_in_newSource CodeMay 4, 2026

Evidence Chain (2 files)

GitHub APIMay 17, 2026, 06:58 PM
open_in_newGitHub (/)
sha256:f445a4944711...
BlackHart AnalysisMay 4, 2026, 02:00 PM
open_in_newAccess Control — Source Code
sha256:ae4a4fd3d858...

Score History

No dimension-level score changes recorded yet.

Methodology: 2.1Formula: 1.1Weights: 1.1