Real-time market data. AI-generated risk narratives. Multi-chain wallet scanning. Search any entity or paste your wallet address.
Paste a wallet address, select chains, and get your real quantum exposure calculated from live on-chain data.
Curated primary sources, sector briefings, and a technical glossary — everything needed to understand and cite the quantum threat.
The vast majority of public blockchains use ECDSA or Ed25519 for transaction signing — both broken by Shor's algorithm. Every address that has ever sent a transaction has its public key permanently on-chain and available for a future quantum attack.
Financial infrastructure depends on RSA and ECDSA for TLS, payment signing, and inter-bank messaging. The Federal Reserve has confirmed adversaries are already harvesting encrypted financial data today for future decryption.
Nation-state adversaries are the most likely actors with access to early quantum computing capability. Government and defense agencies face both the highest threat and the longest migration timelines due to classification, procurement, and legacy hardware constraints.
DeFi protocols inherit Ethereum's ECDSA exposure but add unique on-setup attack vectors through cryptographic commitments used in zero-knowledge proofs and trusted setups.
TLS/SSL certificates, VPN tunnels, and enterprise PKI infrastructure rely entirely on ECDSA and RSA. Telecom providers managing long-lived network infrastructure face the additional risk that encrypted traffic captured today remains at risk indefinitely.
Healthcare systems store highly sensitive long-lived data — medical records encrypted today will remain decryptable for decades. Combined with aging device infrastructure and slow regulatory approval cycles, healthcare faces some of the longest effective migration windows.
Every score and risk value on this site comes from a transparent, open model. Below is exactly how — including where we use real data, where we estimate, and where AI is involved.
| Factor | Weight | What it measures |
|---|---|---|
| Market / Cap Weight | 25% | Systemic impact of capital at risk relative to market cap or total assets. |
| User Exposure | 20% | Users and institutions directly affected. Custodial services score higher than self-custody protocols. |
| Crypto Vulnerability | 30% | Exposure to Shor's algorithm (breaks ECDSA/RSA/Ed25519) and Grover's algorithm (weakens hash functions). NIST PQC-native schemes score near zero. |
| Migration Difficulty | 15% | Coordination complexity to reach full PQC. Decentralised protocols with no upgrade authority score highest. |
| Time to Migrate | 10% | Estimated years to complete migration on current trajectory. |
Breaks asymmetric / public-key cryptography — ECDSA, RSA, Ed25519 — in polynomial time. Any address with a visible transaction history has its public key exposed and is vulnerable to private key derivation. Breaks schemes completely.
Provides quadratic speedup on brute-force searches, halving effective security of hash functions and symmetric ciphers. AES-128 → ~64-bit; SHA-256 → ~128-bit. Affects financial TLS infrastructure. Mitigated by doubling key lengths. Note: Google Quantum AI (2026) concluded that Bitcoin's Proof-of-Work mining appears not vulnerable to Grover's — the error-correction overhead consumes the speedup entirely, and Grover's does not parallelize effectively at scale. Quantum mining was characterized as "remains science fiction" in that paper.
Google Quantum AI (2026) defines three distinct quantum attack modes. The type of attack possible depends on the speed of the quantum hardware and the target's block time.
| Attack Type | Target | Window | Hardware Required |
|---|---|---|---|
| On-Spend | Transactions in transit — public key visible in mempool | Seconds to minutes (Bitcoin avg ~10 min block time → ~41% success at 9-min attack speed) | Fast-clock CRQC (superconducting, photonic, silicon) |
| At-Rest | Long-exposed public keys — P2PK, P2TR, reused addresses, dormant wallets | Days or more — attacker has unlimited time | Any CRQC including slow-clock (ion trap, neutral atom) |
| On-Setup | Fixed protocol parameters — KZG trusted setups, Pedersen commitments, BulletProofs | One-time quantum computation creates a permanent reusable classical backdoor | Single one-time CRQC use; subsequent attacks are classical |
On-setup attacks are uniquely dangerous: Ethereum's Data Availability Sampling (KZG) and Tornado Cash are both vulnerable to a single quantum computation that permanently compromises the protocol for all future users — no quantum computer needed after the initial break.
A score of 4/100 is not a "low risk" entity that migrated well — it is an entity that never had exposure to begin with. The distinction is structural, not a matter of degree.
The 0.65 factor reflects that not all at-risk capital is extractable in a realistic attack. Market cap: CoinGecko (live, 60s cache). TVL: DeFiLlama (live). Non-crypto entities use estimated figures, labelled on each card.
All entities — indexed and non-indexed — receive AI-validated structured summaries generated by Claude Haiku. For indexed entities, the summary is generated from the entity's cryptographic data and score; any existing research text is preserved as secondary reference only and is visually demoted with a disclaimer. For non-indexed entities, Claude generates the full assessment from publicly available information. All AI outputs are cached 7 days per device. Early cache invalidation is permitted only when a materially new high-priority source appears (protocol proposals, standards body updates, peer-reviewed papers, official company disclosures, or confirmed security incidents). Unknown entity scoring uses Claude Sonnet and returns structured JSON; these cards show a blue AI banner and are informed estimates, not authoritative assessments.
Real losses. Verified sources. Every breach below is documented, on-chain, and irreversible — the permanent record of classical cryptography failing at scale.
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