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Cascading HNDL Vector on Immutable DKG Evidence Graphs and ERC-8004 Reputation Registry #61

Description

@sapogeth

Component:
packages/sdk (VerifierAgent / DKG Engine Architecture) & ReputationRegistry.sol

Description:
During an architectural analysis of the ChaosChain SDK and its DKG (Distributed Key Generation) evidence pipeline, a systemic cryptographic vulnerability was identified. The risk involves the long-term storage of classical digital signatures within immutable content-addressed storage layers (such as IPFS or 0G).
According to the SDK implementation, the VerifierAgent fetches and verifies DKG evidence deterministically:

Python

from chaoschain_sdk.verifier_agent import VerifierAgent
verifier_sdk = ChaosChainAgentSDK(
    agent_name="VerifierBot", agent_role=AgentRole.VERIFIER,
    network=NetworkConfig.ETHEREUM_SEPOLIA, private_key="verifier_pk"
)
verifier = VerifierAgent(verifier_sdk)
dkg = verifier.fetch_dkg_evidence(data_hash, evidence_cid)
verification_result = verifier.verify_dkg_integrity(dkg, data_hash)
# - Check signatures on all nodes
# - Verify causality (parents exist, timestamps monotonic)
# - Recompute threadRoot, verify matches on-chain commitment

The protocol architecture states that the DKG Engine in the Gateway is a pure function (same evidence $\rightarrow$ same weights), with evidence stored permanently via immutable evidence_cid entries. The aggregated consensus is subsequently published to ReputationRegistry.sol using signature-based verification.

Threat Model & Impact (Harvest Now, Decrypt Later):

While permanent, content-addressed storage guarantees data availability and immutability, it creates a critical Harvest Now, Decrypt Later (HNDL) attack surface for the agentic reputation layer:

  • Permanent Signature Archiving: Every historical "evidence node" in the DKG graph signed by worker-agents (using classical Ed25519 or ECDSA primitives) is preserved permanently on-chain or in decentralized storage. Attackers do not need to capture live network traffic; the complete historical footprint of cryptographic pairs is publicly and permanently accessible via evidence_cid.
  • Retroactive Private Key Derivation: Upon the arrival of a Cryptanalytically Relevant Quantum Computer (CRQC), an adversary can extract the archived classical signatures and deploy Shor’s algorithm to calculate the underlying private keys of historical worker-agents or verifiers.
  • Cascading Reputation Forgery: Once a worker-agent's signing key is compromised via historical data mining, the attacker can retroactively forge new valid evidence nodes that perfectly satisfy verify_dkg_integrity parameters (causality, monotonic timestamps, and valid signature checks). This allows an attacker to retroactively manipulate the agent's historical performance metrics inside ReputationRegistry.sol.

Direct Business Risk:

This bypasses ChaosChain's core security guarantee. An attacker could completely "wash" a malicious or failing ИИ-agent, turning it into a "Capital-ready agent" with a falsified on-chain track record, leading to catastrophic failures when capital is subsequently delegated to it.

Proposed Mitigation & Discussion:

To preserve the long-term validity of permanent reputation graphs, ChaosChain requires quantum-resistant cryptographic agility prior to committing signatures to immutable storage. We are currently analyzing architectural models for hybrid post-quantum wrapping (e.g., using ML-DSA or stateful hash-based signatures) to protect permanent DKG evidence trees from prospective quantum cryptanalysis without disrupting the deterministic nature of the DKG pure functions.
Is the core team currently considering PQC migration paths for worker-agent signatures, or exploring ways to future-proof the ERC-8004 registry against HNDL vectors? We would be glad to share our benchmarks and design patterns for hybrid quantum-resistant transport layers.

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