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From Shadows to Action — Turning Intelligence Into Real-World Impact
There’s a silent war happening behind the screens we stare at every day. It doesn’t make noise like the old crimes did. It moves through cables, hides inside code, spreads across borders in seconds. And for years, the biggest challenge wasn’t catching criminals. It was connecting the dots.
Now something is changing.
Binance has stepped into a different kind of spotlight — not one about trading volumes or market cycles — but about responsibility. About structure. About action. The idea is simple but powerful: when private intelligence and public enforcement move together with precision, cybercrime stops being invisible.
This is not just about research. It’s not about writing reports that gather digital dust. It’s about mapping criminal infrastructure so clearly that when the time comes, action is inevitable.
Imagine a global map, not of countries, but of connections. Fraud networks linked to payment routes. Malicious domains tied to wallet clusters. Communication channels traced back to operational hubs. Individually, these fragments look ordinary. Together, they reveal architecture. A system. A machine.
That machine is what structured cooperation is designed to dismantle.
Instead of working in isolation, security experts, analysts, and investigators collaborate with defined frameworks. Intelligence is reviewed, verified, refined. Patterns are studied. Infrastructure is identified. Weak points are exposed. When those weak points are struck, the ripple effect travels far beyond a single arrest.
The power of this approach lies in coordination. Timing matters. Accuracy matters more. Acting too early means tipping off criminals. Acting too late means victims multiply. Structured intelligence turns guesswork into strategy.
Binance’s role in this effort shows how a private company can contribute far beyond its platform. By sharing expertise in blockchain analysis, transaction tracing, and digital asset movement, it helps transform scattered data into actionable insight. Crypto is often misunderstood as anonymous chaos. In reality, it leaves trails. Clear ones. When analyzed correctly, those trails tell stories — and stories lead to accountability.
What makes this model different is that it doesn’t treat cybercrime as isolated incidents. It sees ecosystems. Criminal networks rely on infrastructure just like legitimate businesses do. Servers. Payment channels. Communication tools. Recruitment funnels. Disrupt the infrastructure and you disrupt the operation.
And disruption is not theoretical. Coordinated actions supported by structured intelligence have already led to large-scale takedowns, financial recoveries, and the identification of victims across multiple regions. That matters. Because behind every data point is a real person who lost something — money, trust, security.
This is where the narrative shifts.
For years, the conversation around crypto security focused on risk. Hacks. Exploits. Scams. But this cooperation model flips the script. It shows that the same transparency that criminals attempt to exploit can be used to expose them. The same speed that moves digital assets can accelerate investigations.
It is not about perfection. Cybercrime evolves. Tactics change. Technology adapts. But structure creates resilience. When intelligence sharing becomes organized rather than reactive, enforcement becomes proactive rather than defensive.
There is something powerful about seeing private expertise and public authority aligned with a shared goal. It sends a message beyond arrests and statistics. It signals maturity. It signals accountability. It signals that the digital economy is not a lawless frontier but a space capable of defending itself.
And perhaps the most important impact is invisible.
When criminals realize that their infrastructure can be mapped, that their networks can be visualized, that their transactions can be traced across layers, the illusion of safety cracks. Deterrence begins long before handcuffs.
The future of digital security will not be built by one entity alone. It will be built by frameworks that connect intelligence to action. Binance’s involvement in this evolving model shows that the private sector is no longer just reacting to threats. It is helping design the response.
In a world where crime moves at the speed of light, cooperation must move faster.
This is not just about technology. It is about trust.
And trust, once defended with structure and courage, becomes stronger than any hidden network operating in the dark.
#Binance
#CyberSecurity
#BlockchainSecurity
#DigitalTrust
#CryptoSafety
Now something is changing.
Binance has stepped into a different kind of spotlight — not one about trading volumes or market cycles — but about responsibility. About structure. About action. The idea is simple but powerful: when private intelligence and public enforcement move together with precision, cybercrime stops being invisible.
This is not just about research. It’s not about writing reports that gather digital dust. It’s about mapping criminal infrastructure so clearly that when the time comes, action is inevitable.
Imagine a global map, not of countries, but of connections. Fraud networks linked to payment routes. Malicious domains tied to wallet clusters. Communication channels traced back to operational hubs. Individually, these fragments look ordinary. Together, they reveal architecture. A system. A machine.
That machine is what structured cooperation is designed to dismantle.
Instead of working in isolation, security experts, analysts, and investigators collaborate with defined frameworks. Intelligence is reviewed, verified, refined. Patterns are studied. Infrastructure is identified. Weak points are exposed. When those weak points are struck, the ripple effect travels far beyond a single arrest.
The power of this approach lies in coordination. Timing matters. Accuracy matters more. Acting too early means tipping off criminals. Acting too late means victims multiply. Structured intelligence turns guesswork into strategy.
Binance’s role in this effort shows how a private company can contribute far beyond its platform. By sharing expertise in blockchain analysis, transaction tracing, and digital asset movement, it helps transform scattered data into actionable insight. Crypto is often misunderstood as anonymous chaos. In reality, it leaves trails. Clear ones. When analyzed correctly, those trails tell stories — and stories lead to accountability.
What makes this model different is that it doesn’t treat cybercrime as isolated incidents. It sees ecosystems. Criminal networks rely on infrastructure just like legitimate businesses do. Servers. Payment channels. Communication tools. Recruitment funnels. Disrupt the infrastructure and you disrupt the operation.
And disruption is not theoretical. Coordinated actions supported by structured intelligence have already led to large-scale takedowns, financial recoveries, and the identification of victims across multiple regions. That matters. Because behind every data point is a real person who lost something — money, trust, security.
This is where the narrative shifts.
For years, the conversation around crypto security focused on risk. Hacks. Exploits. Scams. But this cooperation model flips the script. It shows that the same transparency that criminals attempt to exploit can be used to expose them. The same speed that moves digital assets can accelerate investigations.
It is not about perfection. Cybercrime evolves. Tactics change. Technology adapts. But structure creates resilience. When intelligence sharing becomes organized rather than reactive, enforcement becomes proactive rather than defensive.
There is something powerful about seeing private expertise and public authority aligned with a shared goal. It sends a message beyond arrests and statistics. It signals maturity. It signals accountability. It signals that the digital economy is not a lawless frontier but a space capable of defending itself.
And perhaps the most important impact is invisible.
When criminals realize that their infrastructure can be mapped, that their networks can be visualized, that their transactions can be traced across layers, the illusion of safety cracks. Deterrence begins long before handcuffs.
The future of digital security will not be built by one entity alone. It will be built by frameworks that connect intelligence to action. Binance’s involvement in this evolving model shows that the private sector is no longer just reacting to threats. It is helping design the response.
In a world where crime moves at the speed of light, cooperation must move faster.
This is not just about technology. It is about trust.
And trust, once defended with structure and courage, becomes stronger than any hidden network operating in the dark.
#Binance
#CyberSecurity
#BlockchainSecurity
#DigitalTrust
#CryptoSafety
🚀 #AI + #Cryptowatch : $70 Million for the "Digital Police" of the Future
While the crypto market searches for a clear direction, security infrastructure just received a massive vote of confidence. TRM Labs has officially announced the closing of a $70 million Series C funding round, pushing AI to the front lines of the battle against on-chain financial fraud.
🔍 Why is this a "Game Changer" in February 2026?
We are no longer talking about simple monitoring algorithms.
These funds will be invested in Real-Time AI Detection Agents capable of doing what human analysts cannot:
Millisecond Transaction Analysis: AI scans billions of data points across dozens of blockchains simultaneously to identify money laundering patterns before funds are "mixed."
Predictive Risk Scoring:
The platform doesn't just track where the money went; it uses predictive models to evaluate a wallet's risk before it even interacts with an exchange.
Adaptability to DAC8 and the Clarity Act: In the context of new European regulations (DAC8) and legislative pressure in the U.S., compliance is no longer optional. TRM Labs is becoming the "trust layer" necessary for institutional investors to stay in the game.
📉 The Numbers That Matter:
$70M – The value of the new funding round, at a time when Venture Capital (VC) is extremely selective.
18 blockchain startups – Raised over $278M in the first week of February alone, signaling that interest in infrastructure is at an all-time high.
16% – The new tax rate on crypto profits in Romania (2026), making transparency and AI-assisted reporting essential even for local users.
💡 The Bottom Line:
The "Wild West" of crypto is ending. Integrating AI into on-chain security transforms the blockchain from a space of uncertainty into a regulated and secure ecosystem. If you want to be the "bank of the future," you must have the "security of the future."
$BTC $ETH $BNB
#CryptoAi #BlockchainSecurity #ViralAiHub
While the crypto market searches for a clear direction, security infrastructure just received a massive vote of confidence. TRM Labs has officially announced the closing of a $70 million Series C funding round, pushing AI to the front lines of the battle against on-chain financial fraud.
🔍 Why is this a "Game Changer" in February 2026?
We are no longer talking about simple monitoring algorithms.
These funds will be invested in Real-Time AI Detection Agents capable of doing what human analysts cannot:
Millisecond Transaction Analysis: AI scans billions of data points across dozens of blockchains simultaneously to identify money laundering patterns before funds are "mixed."
Predictive Risk Scoring:
The platform doesn't just track where the money went; it uses predictive models to evaluate a wallet's risk before it even interacts with an exchange.
Adaptability to DAC8 and the Clarity Act: In the context of new European regulations (DAC8) and legislative pressure in the U.S., compliance is no longer optional. TRM Labs is becoming the "trust layer" necessary for institutional investors to stay in the game.
📉 The Numbers That Matter:
$70M – The value of the new funding round, at a time when Venture Capital (VC) is extremely selective.
18 blockchain startups – Raised over $278M in the first week of February alone, signaling that interest in infrastructure is at an all-time high.
16% – The new tax rate on crypto profits in Romania (2026), making transparency and AI-assisted reporting essential even for local users.
💡 The Bottom Line:
The "Wild West" of crypto is ending. Integrating AI into on-chain security transforms the blockchain from a space of uncertainty into a regulated and secure ecosystem. If you want to be the "bank of the future," you must have the "security of the future."
$BTC $ETH $BNB
#CryptoAi #BlockchainSecurity #ViralAiHub
Oracles as Risk Containment Mechanisms
Failures in oracle systems propagate quickly. They distort pricing, trigger liquidations, and erode trust.
WINkLink functions as a risk containment layer, limiting systemic exposure by reinforcing accurate data flow 📉
In mature ecosystems, resilience begins with information accuracy.
#BlockchainSecurity #OracleDesign #TRONDeFi @TRON DAO @Justin Sun孙宇晨
Failures in oracle systems propagate quickly. They distort pricing, trigger liquidations, and erode trust.
WINkLink functions as a risk containment layer, limiting systemic exposure by reinforcing accurate data flow 📉
In mature ecosystems, resilience begins with information accuracy.
#BlockchainSecurity #OracleDesign #TRONDeFi @TRON DAO @Justin Sun孙宇晨
Data Reliability as System Insurance
When data fails, protocols fail — regardless of capital size or brand recognition.
By reinforcing data integrity, WINkLink acts as system insurance, reducing cascading risk across DeFi and on-chain automation 📊
This kind of protection rarely trends — and that’s exactly why it matters.
#BlockchainSecurity #OracleDesign #TRONDeFi @TRON DAO @Justin Sun孙宇晨
When data fails, protocols fail — regardless of capital size or brand recognition.
By reinforcing data integrity, WINkLink acts as system insurance, reducing cascading risk across DeFi and on-chain automation 📊
This kind of protection rarely trends — and that’s exactly why it matters.
#BlockchainSecurity #OracleDesign #TRONDeFi @TRON DAO @Justin Sun孙宇晨
Oracles Are Risk Mitigation, Not Accessories
Speed is meaningless without accuracy. ⚠️
WINkLink prioritizes verified, tamper-resistant inputs. This enables:
Lending protocols to avoid improper liquidations
Automated strategies to execute correctly
Governance decisions to reflect real conditions
Reliable oracles are the backbone of functional, sustainable DeFi.
#BlockchainSecurity #DataIntegrity @Justin Sun孙宇晨 @TRON DAO
Speed is meaningless without accuracy. ⚠️
WINkLink prioritizes verified, tamper-resistant inputs. This enables:
Lending protocols to avoid improper liquidations
Automated strategies to execute correctly
Governance decisions to reflect real conditions
Reliable oracles are the backbone of functional, sustainable DeFi.
#BlockchainSecurity #DataIntegrity @Justin Sun孙宇晨 @TRON DAO
Oracles Are About Trust, Not Speed
Fast data is useless if it’s wrong. ⚠️
WINkLink focuses on data integrity first, speed second. That ordering matters.
DeFi protocols rely on oracles not just during calm markets, but during volatility — when incentives to manipulate data increase.
By prioritizing resilience and verification, WINkLink helps TRON-based applications remain functional when pressure rises.
Good infrastructure prepares for bad days.
#BlockchainSecurity #DataIntegrity @TRON DAO @Justin Sun孙宇晨
Fast data is useless if it’s wrong. ⚠️
WINkLink focuses on data integrity first, speed second. That ordering matters.
DeFi protocols rely on oracles not just during calm markets, but during volatility — when incentives to manipulate data increase.
By prioritizing resilience and verification, WINkLink helps TRON-based applications remain functional when pressure rises.
Good infrastructure prepares for bad days.
#BlockchainSecurity #DataIntegrity @TRON DAO @Justin Sun孙宇晨
Data Integrity as DeFi’s Invisible Backbone
Without trustworthy inputs, decentralization collapses into automation without accountability. ⚠️
WINkLink ensures that external reality — prices, randomness, events — enters smart contracts through controlled channels.
This enables TRON-based DeFi to scale without proportionally increasing attack surfaces.
Security that scales is the difference between experimentation and infrastructure.
#DeFiRisk #BlockchainSecurity @Justin Sun孙宇晨
Without trustworthy inputs, decentralization collapses into automation without accountability. ⚠️
WINkLink ensures that external reality — prices, randomness, events — enters smart contracts through controlled channels.
This enables TRON-based DeFi to scale without proportionally increasing attack surfaces.
Security that scales is the difference between experimentation and infrastructure.
#DeFiRisk #BlockchainSecurity @Justin Sun孙宇晨
Security as a Layered Outcome
Security here is not a single feature. It’s an outcome of:
Predictable execution 🧱
Reliable data 🛡️
Liquidity depth 💧
Governance continuity ⚙️
Each primary project reinforces the others.
That interdependence reduces single points of failure — a hallmark of mature infrastructure.
#BlockchainSecurity #SystemDesign #CryptoResilience @Justin Sun孙宇晨
Security here is not a single feature. It’s an outcome of:
Predictable execution 🧱
Reliable data 🛡️
Liquidity depth 💧
Governance continuity ⚙️
Each primary project reinforces the others.
That interdependence reduces single points of failure — a hallmark of mature infrastructure.
#BlockchainSecurity #SystemDesign #CryptoResilience @Justin Sun孙宇晨
Strategic ETH Moves: Funding Security & Long-Term Growth
Vitalik isn’t just talking tech he’s putting ETH where his vision is.
Recently he withdrew and redeployed over $40 million worth of ETH to support open-source
security, privacy, and infrastructure projects as part of the Ethereum Foundation’s shift into a more sustainable development cadence.
This isn’t about short-term price action it’s about fortifying Ethereum’s core foundations and funding research that could pay off in network robustness and user trust over the long haul.
$ETH
$RIVER
$PIPPIN
#ETH #BlockchainSecurity #CryptoInsights
Vitalik isn’t just talking tech he’s putting ETH where his vision is.
Recently he withdrew and redeployed over $40 million worth of ETH to support open-source
security, privacy, and infrastructure projects as part of the Ethereum Foundation’s shift into a more sustainable development cadence.
This isn’t about short-term price action it’s about fortifying Ethereum’s core foundations and funding research that could pay off in network robustness and user trust over the long haul.
$ETH
$RIVER
$PIPPIN
#ETH #BlockchainSecurity #CryptoInsights
Fogo Structure: How to Achieve Full Decentralization Without Compromising Security? 🚀 Digital Resilience
In the world of cryptocurrencies, the "blockchain triangle" (security, speed, and decentralization) remains the biggest challenge. However, the project $FOGO has proven through its unique structure that balance is not impossible. #fogo relies on infrastructure that ensures fair distribution of digital power, making it a network resistant to hacking and ready for the future.
Brave Study Questions Security of Zero-Knowledge Login Systems
Brave’s latest research is sparking an important conversation around zero-knowledge login systems and how they’re being deployed in the real world.
In a new paper, the team examined zkLogin, a popular zero-knowledge authorization model used in the Sui ecosystem, and found that many of its security guarantees depend on external assumptions rather than the cryptography itself. The issue, according to the researchers, isn’t broken zero-knowledge proofs, but how they interact with messy, real-world authentication systems like JWTs and OpenID Connect.
The study highlights three main concerns: ambiguous token parsing, weak bindings between authentication and authorization, and increased centralization around a small group of identity providers and external services. Together, these factors could create impersonation, privacy, and governance risks.
The broader takeaway is clear: zero-knowledge proofs can only be as secure as the systems and assumptions around them. When web authentication tokens are turned into long-lived blockchain credentials, the trust model has to be designed just as carefully as the cryptography.
As ZK identity solutions gain traction across wallets and decentralized apps, research like this serves as a reminder that privacy-preserving systems still need strong, end-to-end security models to live up to their promises. #Cybersecurity #ZK #BlockchainSecurity #Brave
Brave’s latest research is sparking an important conversation around zero-knowledge login systems and how they’re being deployed in the real world.
In a new paper, the team examined zkLogin, a popular zero-knowledge authorization model used in the Sui ecosystem, and found that many of its security guarantees depend on external assumptions rather than the cryptography itself. The issue, according to the researchers, isn’t broken zero-knowledge proofs, but how they interact with messy, real-world authentication systems like JWTs and OpenID Connect.
The study highlights three main concerns: ambiguous token parsing, weak bindings between authentication and authorization, and increased centralization around a small group of identity providers and external services. Together, these factors could create impersonation, privacy, and governance risks.
The broader takeaway is clear: zero-knowledge proofs can only be as secure as the systems and assumptions around them. When web authentication tokens are turned into long-lived blockchain credentials, the trust model has to be designed just as carefully as the cryptography.
As ZK identity solutions gain traction across wallets and decentralized apps, research like this serves as a reminder that privacy-preserving systems still need strong, end-to-end security models to live up to their promises. #Cybersecurity #ZK #BlockchainSecurity #Brave
WINkLink: Oracle Security as Systemic Defense
DeFi relies on smart contracts — but smart contracts only work if inputs are trustworthy. Oracle failures can cascade into liquidation spirals, lost collateral, and systemic instability.
WINkLink strengthens TRON’s ecosystem by providing:
• Aggregated, tamper-resistant price feeds
• Real-time event triggers for DeFi protocols
• Reduced exposure to flash manipulation
• Higher confidence in collateralized lending
From a systemic perspective, reliable oracles act as insurance against tail-risk events. While smart contracts are deterministic, oracle feeds are not; inaccuracies or attacks can amplify volatility, affecting lending, borrowing, and stablecoin settlement alike.
Investors and ecosystem architects should note: risk mitigation through oracle reliability is underappreciated but crucial. WINkLink enhances TRON’s resilience layer, creating trust that supports larger-scale adoption and institutional integration.
#WINkLink #OracleInfrastructure #TRONDeFi #BlockchainSecurity @TRON DAO
DeFi relies on smart contracts — but smart contracts only work if inputs are trustworthy. Oracle failures can cascade into liquidation spirals, lost collateral, and systemic instability.
WINkLink strengthens TRON’s ecosystem by providing:
• Aggregated, tamper-resistant price feeds
• Real-time event triggers for DeFi protocols
• Reduced exposure to flash manipulation
• Higher confidence in collateralized lending
From a systemic perspective, reliable oracles act as insurance against tail-risk events. While smart contracts are deterministic, oracle feeds are not; inaccuracies or attacks can amplify volatility, affecting lending, borrowing, and stablecoin settlement alike.
Investors and ecosystem architects should note: risk mitigation through oracle reliability is underappreciated but crucial. WINkLink enhances TRON’s resilience layer, creating trust that supports larger-scale adoption and institutional integration.
#WINkLink #OracleInfrastructure #TRONDeFi #BlockchainSecurity @TRON DAO
WINkLink: Containing Oracle-Induced Systemic Risk
In decentralized finance, smart contract security is only half the equation.
The other half is data integrity.
When oracle feeds fail, manipulate, or desynchronize, liquidation cascades can follow.
WINkLink plays a crucial defensive role in TRON’s DeFi architecture.
Security layers enhanced by oracle robustness:
• Accurate price feeds
• Reliable event triggers
• Tamper-resistant data aggregation
• Reduced flash-manipulation exposure
In systemic risk modeling, tail events matter more than average performance.
If oracle data integrity holds during volatility spikes, the ecosystem survives.
If it fails, contagion spreads.
WINkLink reduces the probability of data-induced collapse.
That’s not hype.
That’s structural risk mitigation.
🛡️ DeFi durability begins with trustworthy data.
#WINkLink #OracleInfrastructure #TRONDeFi #BlockchainSecurity
In decentralized finance, smart contract security is only half the equation.
The other half is data integrity.
When oracle feeds fail, manipulate, or desynchronize, liquidation cascades can follow.
WINkLink plays a crucial defensive role in TRON’s DeFi architecture.
Security layers enhanced by oracle robustness:
• Accurate price feeds
• Reliable event triggers
• Tamper-resistant data aggregation
• Reduced flash-manipulation exposure
In systemic risk modeling, tail events matter more than average performance.
If oracle data integrity holds during volatility spikes, the ecosystem survives.
If it fails, contagion spreads.
WINkLink reduces the probability of data-induced collapse.
That’s not hype.
That’s structural risk mitigation.
🛡️ DeFi durability begins with trustworthy data.
#WINkLink #OracleInfrastructure #TRONDeFi #BlockchainSecurity
Bitcoin Takes Major Leap Toward Quantum Attack Protection
Bitcoin developers have achieved a significant milestone in protecting the network against future quantum computing threats. An updated version of Bitcoin Improvement Proposal (BIP) 360 has been merged into the official Bitcoin BIP GitHub repository, introducing Pay-to-Merkle-Root (P2MR) as a quantum-resistant alternative to existing transaction types.
According to Anduro on X, "Bitcoin just made a meaningful step toward future quantum resistance. An updated version of BIP 360 has just been merged into the official Bitcoin BIP GitHub repository."
The proposal addresses growing concerns about Cryptographically Relevant Quantum Computers (CRQCs) potentially breaking the elliptic curve cryptography that secures Bitcoin transactions. While quantum computers capable of threatening Bitcoin don't exist yet, governments and corporations worldwide are already preparing for this possibility.
What P2MR Changes for Bitcoin Security
P2MR operates similarly to Pay-to-Taproot (P2TR) outputs but removes the quantum-vulnerable key-path spend while preserving compatibility with Tapscript and script trees. This modification specifically protects against "long exposure attacks"—scenarios where attackers have extended time periods to perform quantum key recovery on exposed blockchain data.
The updated BIP 360 specification outlines a conservative first step in hardening Bitcoin against quantum threats. The change implements a soft fork that doesn't affect existing Taproot outputs, ensuring backward compatibility across the network.
Understanding Long vs Short Exposure Attacks
Long exposure attacks target public keys already visible on the blockchain, giving attackers ample time to execute quantum key recovery. Current output types like P2PKH and P2SH remain safe against such attacks, but Taproot outputs starting with "bc1p" are vulnerable.
Short exposure attacks require significantly faster quantum computers since they must occur within the brief window when transactions sit unconfirmed in the mempool. Full protection against these attacks may require future integration of post-quantum signature schemes.
P2MR outputs, identifiable by their "bc1z" prefix, offer protection against long exposure attacks while maintaining support for Tapscript—a critical feature for potentially implementing post-quantum signature opcodes down the line.
Development Team and Community Response
Isabel Foxen Duke joined as co-author to ensure the BIP remains accessible beyond just the developer community. The proposal directly addresses criticism about Bitcoin developers allegedly not taking quantum threats seriously enough.
As stated in the BIP documentation, "We believe users' fear of quantum computers may be worth addressing regardless of CRQC viability."
The Commercial National Security Algorithm Suite (CNSA) 2.0 has already mandated software and networking equipment upgrades to post-quantum schemes by 2030, with browsers and operating systems requiring full upgrades by 2033. NIST IR 8547 plans to disallow Elliptic Curve Cryptography within US federal government systems after 2035, except for hybrid cryptography approaches.
Technical Implementation Details
P2MR outputs commit to the Merkle root of a script tree without committing to an internal key. The construction follows BIP 341's process for computing the final tapbranch hash but omits Taproot's internal key tweaking mechanism.
This design minimizes network changes by reusing existing Bitcoin code while creating the safest possible path for adding post-quantum signature integrations if needed in the future. Wallets, exchanges, and libraries can leverage their existing P2TR infrastructure, reducing implementation complexity.
The witness structure includes initial stack elements, leaf script, and a control block containing the Merkle path. Unlike P2TR, the public key is omitted from the control block since P2MR doesn't support key-path spending.
What This Means for Bitcoin Users
Current Bitcoin holders don't need immediate action since existing outputs remain unaffected. However, users concerned about long-term quantum threats now have an opt-in solution for enhanced protection.
The development team emphasized: "We are grateful to every Bitcoin contributor who took the time to review and provide feedback."
The proposal represents a measured response—implementing quantum resistance features gradually as the threat landscape evolves rather than imposing heavy-handed changes while CRQCs remain theoretical.
P2MR establishes groundwork for introducing post-quantum signatures while using Tapscript and script trees for spend-time optionality. This forward-thinking approach positions Bitcoin to adapt as quantum computing technology advances without requiring disruptive protocol changes.
Keywords: 3 Key Takeaways:
BIP 360 introduces P2MR outputs protecting Bitcoin from quantum long exposure attacksSoft fork maintains backward compatibility while adding opt-in quantum resistanceFoundation laid for future post-quantum signature implementation in Bitcoin protocol
#Bitcoin #QuantumComputing #BIP360 #Cryptography #BlockchainSecurity
This Article First Appeared on: https://www.cryptonewslive.org/article/bitcoin-takes-major-leap-toward-quantum-attack-protection
According to Anduro on X, "Bitcoin just made a meaningful step toward future quantum resistance. An updated version of BIP 360 has just been merged into the official Bitcoin BIP GitHub repository."
The proposal addresses growing concerns about Cryptographically Relevant Quantum Computers (CRQCs) potentially breaking the elliptic curve cryptography that secures Bitcoin transactions. While quantum computers capable of threatening Bitcoin don't exist yet, governments and corporations worldwide are already preparing for this possibility.
What P2MR Changes for Bitcoin Security
P2MR operates similarly to Pay-to-Taproot (P2TR) outputs but removes the quantum-vulnerable key-path spend while preserving compatibility with Tapscript and script trees. This modification specifically protects against "long exposure attacks"—scenarios where attackers have extended time periods to perform quantum key recovery on exposed blockchain data.
The updated BIP 360 specification outlines a conservative first step in hardening Bitcoin against quantum threats. The change implements a soft fork that doesn't affect existing Taproot outputs, ensuring backward compatibility across the network.
Understanding Long vs Short Exposure Attacks
Long exposure attacks target public keys already visible on the blockchain, giving attackers ample time to execute quantum key recovery. Current output types like P2PKH and P2SH remain safe against such attacks, but Taproot outputs starting with "bc1p" are vulnerable.
Short exposure attacks require significantly faster quantum computers since they must occur within the brief window when transactions sit unconfirmed in the mempool. Full protection against these attacks may require future integration of post-quantum signature schemes.
P2MR outputs, identifiable by their "bc1z" prefix, offer protection against long exposure attacks while maintaining support for Tapscript—a critical feature for potentially implementing post-quantum signature opcodes down the line.
Development Team and Community Response
Isabel Foxen Duke joined as co-author to ensure the BIP remains accessible beyond just the developer community. The proposal directly addresses criticism about Bitcoin developers allegedly not taking quantum threats seriously enough.
As stated in the BIP documentation, "We believe users' fear of quantum computers may be worth addressing regardless of CRQC viability."
The Commercial National Security Algorithm Suite (CNSA) 2.0 has already mandated software and networking equipment upgrades to post-quantum schemes by 2030, with browsers and operating systems requiring full upgrades by 2033. NIST IR 8547 plans to disallow Elliptic Curve Cryptography within US federal government systems after 2035, except for hybrid cryptography approaches.
Technical Implementation Details
P2MR outputs commit to the Merkle root of a script tree without committing to an internal key. The construction follows BIP 341's process for computing the final tapbranch hash but omits Taproot's internal key tweaking mechanism.
This design minimizes network changes by reusing existing Bitcoin code while creating the safest possible path for adding post-quantum signature integrations if needed in the future. Wallets, exchanges, and libraries can leverage their existing P2TR infrastructure, reducing implementation complexity.
The witness structure includes initial stack elements, leaf script, and a control block containing the Merkle path. Unlike P2TR, the public key is omitted from the control block since P2MR doesn't support key-path spending.
What This Means for Bitcoin Users
Current Bitcoin holders don't need immediate action since existing outputs remain unaffected. However, users concerned about long-term quantum threats now have an opt-in solution for enhanced protection.
The development team emphasized: "We are grateful to every Bitcoin contributor who took the time to review and provide feedback."
The proposal represents a measured response—implementing quantum resistance features gradually as the threat landscape evolves rather than imposing heavy-handed changes while CRQCs remain theoretical.
P2MR establishes groundwork for introducing post-quantum signatures while using Tapscript and script trees for spend-time optionality. This forward-thinking approach positions Bitcoin to adapt as quantum computing technology advances without requiring disruptive protocol changes.
Keywords: 3 Key Takeaways:
BIP 360 introduces P2MR outputs protecting Bitcoin from quantum long exposure attacksSoft fork maintains backward compatibility while adding opt-in quantum resistanceFoundation laid for future post-quantum signature implementation in Bitcoin protocol
#Bitcoin #QuantumComputing #BIP360 #Cryptography #BlockchainSecurity
This Article First Appeared on: https://www.cryptonewslive.org/article/bitcoin-takes-major-leap-toward-quantum-attack-protection
🔥 Joe Lubin warns: quantum computing poses a potential existential threat to Bitcoin
Joe Lubin warned that Bitcoin may face an "existential problem," metaphorically referring to "Q Day" — the moment when quantum computers may become powerful enough to break current encryption algorithms.
Lubin said that this scenario has not yet materialized, but the concern is justified and logical, especially with the noticeable acceleration in the development of quantum computing technologies. Simply put, the security of Bitcoin relies on encryption, and any radical breach of this foundation will pose an unprecedented challenge to the network.
On the other hand, many experts believe that the Bitcoin community has the time and technical ability to adapt, whether through upgrading algorithms or adopting quantum-resistant solutions before the threat becomes a reality.
The key takeaway from the discussion: the danger is not imminent, but it is real, and early preparation will determine Bitcoin's ability to survive in the post-traditional computing era.
#bitcoin #quantumcomputing #BlockchainSecurity #cryptofuture #Web3
📊These cryptocurrencies are on a strong rise: 👇
💎 $NIL
💎 $FHE
💎 $POWER
Joe Lubin warned that Bitcoin may face an "existential problem," metaphorically referring to "Q Day" — the moment when quantum computers may become powerful enough to break current encryption algorithms.
Lubin said that this scenario has not yet materialized, but the concern is justified and logical, especially with the noticeable acceleration in the development of quantum computing technologies. Simply put, the security of Bitcoin relies on encryption, and any radical breach of this foundation will pose an unprecedented challenge to the network.
On the other hand, many experts believe that the Bitcoin community has the time and technical ability to adapt, whether through upgrading algorithms or adopting quantum-resistant solutions before the threat becomes a reality.
The key takeaway from the discussion: the danger is not imminent, but it is real, and early preparation will determine Bitcoin's ability to survive in the post-traditional computing era.
#bitcoin #quantumcomputing #BlockchainSecurity #cryptofuture #Web3
📊These cryptocurrencies are on a strong rise: 👇
💎 $NIL
💎 $FHE
💎 $POWER
VANAR FACING THE ULTIMATE TEST: TRUST OR DEATH! ⚠️
$VANRY is moving into the consumer arena, and that means one mistake is a headline. The biggest danger isn't tech failure—it's the trust deficit!
• Validator concentration is EXPOSED early on. Small set = high risk.
• Bridges are gravity wells for attackers. One exploit poisons the whole ecosystem.
• Token emissions that immediately dump create a permanent leak narrative. SELL PRESSURE IMMINENT.
If they don't look professional NOW, the market will crush them! They must prove security is ironclad and token flows are transparent. DO NOT FADE THIS NARRATIVE SHIFT. This is where generational wealth is separated from vaporware. LOAD THE BAGS before the credibility narrative solidifies!
#Crypto #Altcoins #BlockchainSecurity #VANRY 🐂
$VANRY is moving into the consumer arena, and that means one mistake is a headline. The biggest danger isn't tech failure—it's the trust deficit!
• Validator concentration is EXPOSED early on. Small set = high risk.
• Bridges are gravity wells for attackers. One exploit poisons the whole ecosystem.
• Token emissions that immediately dump create a permanent leak narrative. SELL PRESSURE IMMINENT.
If they don't look professional NOW, the market will crush them! They must prove security is ironclad and token flows are transparent. DO NOT FADE THIS NARRATIVE SHIFT. This is where generational wealth is separated from vaporware. LOAD THE BAGS before the credibility narrative solidifies!
#Crypto #Altcoins #BlockchainSecurity #VANRY 🐂
💥 CoinShares: Quantum computers are not yet a “nightmare” for Bitcoin
📑 In the latest report, CoinShares suggests that the risk from quantum computers to Bitcoin is not an immediate threat, but a long-term manageable risk.
🔐 Theoretically, Shor's algorithm could attack signature mechanisms like ECDSA & Schnorr, but:
👉 Current technology is not capable enough
👉 It may take more than 10 years for it to become a real concern
🛡 Bitcoin's security remains strong:
Based on elliptic curve + SHA-256
Cannot break the limit of 21 million BTC
Cannot circumvent the Proof-of-Work mechanism
Modern addresses (P2PKH, P2SH) only reveal the public key when spending → reduces attack surface
📊 Notable number:
About 1.6–1.7 million BTC (~8%) is in old P2PK addresses with public keys exposed
But the amount that could exert significant selling pressure is only about 10,200 BTC
⚙️ Breaking secp256k1 in <1 year requires a logic qubit count 10,000–100,000 times current.
⏳ Attacks like “mempool under 10 minutes” are deemed impossible for many decades.
🔄 Long-term solutions may involve switching to quantum-resistant addresses (QR) via soft/hard fork – but also carry technical risks and legal debates.
👉 Conclusion: Quantum is a future story, not a “looming crisis”.
😄 This article is for reference only, not investment advice or technology forecast. If quantum appears tomorrow, remember not to say I said “not a problem” 😅
#Bitcoin #QuantumComputing #BlockchainSecurity #CryptoNews #DigitalAssets
📑 In the latest report, CoinShares suggests that the risk from quantum computers to Bitcoin is not an immediate threat, but a long-term manageable risk.
🔐 Theoretically, Shor's algorithm could attack signature mechanisms like ECDSA & Schnorr, but:
👉 Current technology is not capable enough
👉 It may take more than 10 years for it to become a real concern
🛡 Bitcoin's security remains strong:
Based on elliptic curve + SHA-256
Cannot break the limit of 21 million BTC
Cannot circumvent the Proof-of-Work mechanism
Modern addresses (P2PKH, P2SH) only reveal the public key when spending → reduces attack surface
📊 Notable number:
About 1.6–1.7 million BTC (~8%) is in old P2PK addresses with public keys exposed
But the amount that could exert significant selling pressure is only about 10,200 BTC
⚙️ Breaking secp256k1 in <1 year requires a logic qubit count 10,000–100,000 times current.
⏳ Attacks like “mempool under 10 minutes” are deemed impossible for many decades.
🔄 Long-term solutions may involve switching to quantum-resistant addresses (QR) via soft/hard fork – but also carry technical risks and legal debates.
👉 Conclusion: Quantum is a future story, not a “looming crisis”.
😄 This article is for reference only, not investment advice or technology forecast. If quantum appears tomorrow, remember not to say I said “not a problem” 😅
#Bitcoin #QuantumComputing #BlockchainSecurity #CryptoNews #DigitalAssets
Which Security Wins: Formal Verification vs. Bug Bounties?
Formal verification mathematically proves code correctness before deployment, while bug bounties catch vulnerabilities after code is written. Both have merits - formal verification prevents errors at the source, but requires significant upfront investment. Bug bounties are cost-effective but react to problems post-deployment. OpenZeppelin's audited contracts show 99.5% fewer critical vulnerabilities compared to unaudited code. However, even audited contracts can have exploits - remember the Cream Finance flash loan attack that bypassed multiple audits? Multi-signature wallets require multiple approvals for transactions, reducing single-point-of-failure risks. Yet they slow down operations - Yearn Finance's governance multisig once took 24 hours to approve an emergency fix during a critical vulnerability. Automated testing catches 70-80% of common vulnerabilities through unit tests and integration tests. But sophisticated attacks like reentrancy bugs often slip through - as seen in the DAO hack that exploited a subtle recursive call vulnerability.
#DeFiSecurity #SmartContractAudit #BlockchainSecurity #CryptoSafety
#DeFiSecurity #SmartContractAudit #BlockchainSecurity #CryptoSafety
CRIME RING EXPOSED: 2 MILLION YUAN LAUNDERED VIA CRYPTO!
This isn't just news. This is a warning. Criminals are using crypto to move dirty money. They thought they were safe. They were wrong. Authorities are cracking down hard. This shows the risk. Stay sharp. Protect your assets.
Disclaimer: This is not financial advice.
#CryptoCrime #MoneyLaundering #BlockchainSecurity #CryptoNews 🚨
This isn't just news. This is a warning. Criminals are using crypto to move dirty money. They thought they were safe. They were wrong. Authorities are cracking down hard. This shows the risk. Stay sharp. Protect your assets.
Disclaimer: This is not financial advice.
#CryptoCrime #MoneyLaundering #BlockchainSecurity #CryptoNews 🚨
Crypto Daily #92
How "Oracles" prevent price manipulation
Ever wonder how your favorite crypto project knows the exact price of Bitcoin if it lives on a totally different blockchain?
It's not magic, and without a special helper, the whole system could be totally gamed! 🫣
We rely on accurate price data for everything in crypto, from lending to derivatives.
Imagine you're playing a game, and the score needs to be pulled from an official, real-world sports match.
If everyone just 'said' the score, someone could totally cheat, right? 🙅♀️ In crypto, dApps need real-world info - like the price of ETH or BTC - that exists outside their blockchain.
Blockchains are super secure but can't see the outside world on their own.
This is where 'oracles' step in, acting like those trusted, independent scorekeepers. They fetch data from many places, verify it, and feed it to the blockchain.
But, if an oracle only pulled data from one source, or if that source was biased, someone could easily manipulate that single data point, making the entire dApp think a crypto was worth something it wasn't. Scary, right? 😨
Therefore, to prevent this nightmare of price manipulation, reliable oracles don't just use one source.
They collect data from dozens of independent data providers and aggregate it securely, cross-referencing to find the true, fair market price.
Think of it like a jury, not just one witness! 🧑⚖️ This multi-source approach makes it incredibly difficult for any single bad actor to trick the system.
It builds a robust 'truth layer' between the real world and our dApps, giving us peace of mind that the prices we see and use for our trades and loans are actually legitimate.
So, the next time you see a DeFi protocol using external data, you'll know there's a powerful network of oracles working tirelessly behind the scenes to keep things honest and secure. Pretty neat, huh? ✨
#CryptoDaily #Oracles #DeFi #HowItWorks #BlockchainSecurity
- Disclaimer: Sharing knowledge and insights as part of learning and growing together. For educational purposes only, not financial advice.
Ever wonder how your favorite crypto project knows the exact price of Bitcoin if it lives on a totally different blockchain?
It's not magic, and without a special helper, the whole system could be totally gamed! 🫣
We rely on accurate price data for everything in crypto, from lending to derivatives.
Imagine you're playing a game, and the score needs to be pulled from an official, real-world sports match.
If everyone just 'said' the score, someone could totally cheat, right? 🙅♀️ In crypto, dApps need real-world info - like the price of ETH or BTC - that exists outside their blockchain.
Blockchains are super secure but can't see the outside world on their own.
This is where 'oracles' step in, acting like those trusted, independent scorekeepers. They fetch data from many places, verify it, and feed it to the blockchain.
But, if an oracle only pulled data from one source, or if that source was biased, someone could easily manipulate that single data point, making the entire dApp think a crypto was worth something it wasn't. Scary, right? 😨
Therefore, to prevent this nightmare of price manipulation, reliable oracles don't just use one source.
They collect data from dozens of independent data providers and aggregate it securely, cross-referencing to find the true, fair market price.
Think of it like a jury, not just one witness! 🧑⚖️ This multi-source approach makes it incredibly difficult for any single bad actor to trick the system.
It builds a robust 'truth layer' between the real world and our dApps, giving us peace of mind that the prices we see and use for our trades and loans are actually legitimate.
So, the next time you see a DeFi protocol using external data, you'll know there's a powerful network of oracles working tirelessly behind the scenes to keep things honest and secure. Pretty neat, huh? ✨
#CryptoDaily #Oracles #DeFi #HowItWorks #BlockchainSecurity
- Disclaimer: Sharing knowledge and insights as part of learning and growing together. For educational purposes only, not financial advice.
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