When unlocking UTXO, I would like to include random (actually random ) data.

I want to secure my spending with classic signatures.

At first I thought about using it p2wpkhbut from what I understand, a witness must contain exactly two elements (signature and public key). If there are more, the transaction is invalid.

1. Would I fix it?

After that I considered using the classic p2pkhwhere is it? scriptsig You can add data first before the signature and public key (for example, a simple 20-byte push). This should preserve security as only top-level stack elements are checked after the script is executed. Therefore, additional data does not cause any problems.

2. Would you like to fix it?

However, this is fine from a consensus and security perspective, but we also found that policy rules prevent such transactions from being relayed across the network, as multiple elements remain in the stack.

3. Would you like to fix it?

It’s very important to include additional data when using your funds, but I don’t know how to do this. Any ideas? Maybe we’ll use other transaction types to achieve this?

Any help is greatly appreciated. Please answer just one of the above questions.

Added minrelaytxfee=0.000001 To me bitcoin.conf 0.1 Allow SAT/VBYTE transactions and enter the node’s Mempool.

I see this works when browsing and running Mempool transactions getmempoolinfo:

{
  ...
  "mempoolminfee": 0.00000100,
  "minrelaytxfee": 0.00000100,
  "incrementalrelayfee": 0.00001000,
  ...
}

But when I run getblocktemplate, Only transactions that contain at least one SAT/VBYTE in the candidate block. So, even if Mempool has enough transactions to fill the candidate block, you are not actually creating a transaction of 1.00 VMB blocks unless Mempool has enough SAT/VBYTE transaction.

Is there a reason? getblocktemplate I don’t choose from all possible transactions in Mempool, but I think I’m only including at least one SAT/VBYTE transaction?

Solana (SOL) is back in the spotlight after whale investors injected more than $1 billion into DeFi protocols, sparking a dramatic 500% surge in transaction activity across the network.

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Data from CoinShares shows that inflows in Q3 2025 reached $177 million, pushing year-to-date totals above $1.2 billion. This sharp rise has positioned Solana as one of the most liquid ecosystems for staking, lending, and DEX activity.

One notable whale moved 20,000 SOL from Kraken into Kamino Finance, later borrowing $3 million in USDC for leveraged positions on OKX. This reflects how institutional-scale players are increasingly using Solana’s DeFi ecosystem without selling off their core holdings, adding both liquidity and credibility to the market.

SOL's price trends to the upside on the daily chart. Source: SOLUSD on Tradingview

Why Transactions Are Surging

Analysts point to multiple factors behind Solana’s record-breaking DeFi inflows and transaction growth. A key driver is the Alpenglow consensus protocol upgrade, which gained 99% validator approval. The upgrade slashes transaction finality to just 150 milliseconds, making Solana one of the fastest public blockchains.

This speed advantage has already lured investors away from Ethereum, where congestion remains a problem. One whale address, previously known for high-value Hyperliquid trades, shifted $7.6 million from ETH into SOL, citing throughput efficiency as the decisive factor.

Beyond technical upgrades, Solana has also attracted institutional interest through ETFs and tokenization initiatives, further strengthening its role as a preferred option for DeFi growth in 2025.

What This Means for Solana’s Future

With whales fueling inflows and Solana’s ecosystem achieving record adoption, market confidence in SOL’s long-term trajectory is strengthening. Transaction surges of this scale often precede deeper liquidity growth and sustained developer activity, two pillars of a healthy DeFi network.

However, analysts caution that network activity needs to translate into consistent user adoption to maintain momentum. While speculative capital is accelerating short-term gains, the broader test for Solana will be sustaining real-world use cases beyond whale-led inflows.

Related Reading

Currently, Solana stands out as one of the fastest-growing ecosystems in crypto, backed by institutional confidence, whale capital, and groundbreaking technical upgrades. If these trends continue, analysts believe Solana could be at the path of the much anticipated $1000 mark.

Cover image from ChatGPT, SOLUSD chart from Tradingview

Shiba Inu Layer-2 network Shibarium has witnessed a 99.8% drop as daily transactions hit rare lows.

According to Shibariumscan data, daily transactions for Shibarium are at 9,590, a far cry from a figure of 4.8 million seen on Aug. 20, marking a 99.8% drop.

The drop corresponds with lackluster trading action in the crypto market seen in late August, with market players staying on the sidelines.

Despite the drop in daily transaction volume, Shibarium statistics stay steady. Shibarium marked its second anniversary, having launched in August 2023, with total transactions surpassing 1.5 billion and addresses surpassing 270 million; total blocks have surpassed 12 million.

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Total transaction count on Shibarium currently stands at 1,566,119,160. Total blocks now stand at 12,811,111, and total addresses are now at 271,936,819, according to Shibariumscan data at press time.

Shiba Inu news

This week, asset manager Valour announced an expansion of its Nordic product suite with the launch of eight new SEK-denominated ETPs, including Shiba Inu on Sweden’s Spotlight Stock Market.

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Recently, the Shiba Inu team has intensified warnings to the SHIB community as coordinated bad actors and networks of fake accounts continue to actively target vulnerable investors. SHIB holders are warned not to FOMO (fear of missing out) into random links. They should also never connect their wallets without verifying the source.

In a separate warning, the Shiba Inu team reiterated that there is no official LEASH token on Solana, nor is there any migration to Solana. They also stated that any version of token not found on the SHIB website is fake and not part of Shiba Inu ecosystem.

In this light, Shiba Inu community members are urged not to engage with such fake tokens, nor should they do so with unofficial accounts.

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Blockchain technology is widely recognized for bringing transparency and trust to digital transactions. Smart contracts, self-executing lines of code, automate agreements and processes across various industries — finance, supply chain, healthcare, and more. With the popularity of smart contracts reaching new heights, their security emerges as a critical concern. Flaws in code can lead to significant financial losses and reputational damage, making smart contract auditing essential for businesses and organizations.

Smart contracts are digital protocols built to facilitate, verify, or enforce the negotiation of a contract without the need for intermediaries. These contracts automatically execute pre-defined actions when certain conditions are met. They are commonly deployed on platforms like Ethereum, Binance Smart Chain, and Polygon.

However, smart contracts are vulnerable to coding errors and malicious attacks. Even minor bugs can cause contracts to malfunction, leading to loss of funds or data. Security breaches, reentrancy attacks, and improper access controls are some of the well-known problems. For businesses investing in blockchain-based solutions, these risks can threaten trust and operations.

Organizations looking for Smart Contract Development Services must prioritize security from the earliest stages of planning and development. This means not only following best coding practices but also incorporating thorough auditing into the lifecycle of every smart contract.

Smart contract auditing is a process of scrutinizing the code of smart contracts to identify vulnerabilities, logic errors, and compliance gaps. It is typically performed by security professionals or specialized teams using both automated tools and manual review. The objective is to uncover issues before the contract goes live and interacts with real assets or users.

Auditing involves multiple steps:

• Reviewing the contract’s architecture.
• Checking code syntax and logic.
• Testing for edge cases and possible exploits.
• Verifying that the contract operates according to its intended design.

Without careful auditing, smart contracts can be exploited, sometimes within minutes of deployment.

Traditionally, auditing smart contracts is a labor-intensive process relying on manual inspection and static analysis tools. As the number and complexity of smart contracts increase, traditional methods struggle to keep up. This is where AI-powered auditing enters the picture.

AI systems can analyze large volumes of code more quickly, identify patterns associated with vulnerabilities, and flag potential issues for further investigation. By using algorithms trained on past vulnerabilities and attack methods, AI tools can detect subtle errors that may escape manual review.

Some key benefits of using AI in smart contract auditing:

• Rapid scanning of codebases.
• Automatic detection of known threat signatures.
• Ability to continuously learn from new exploit techniques.
• Reducing human error during code review.

AI does not entirely replace human expertise but works in tandem with security professionals to strengthen auditing across all stages of smart contract development.

Modern AI-powered auditing platforms often utilize techniques such as natural language processing, machine learning, and semantic analysis. These platforms ingest smart contract code, decode its logic, and compare it against vast datasets of known vulnerabilities.

Some common features of these platforms include:

• Automated code analysis and pattern recognition.
• Continuous monitoring of deployed contracts in real-time.
• Real-time alerts for suspicious transactions or code changes.
• Visual dashboards that show risk levels and actionable recommendations.

Leading platforms are regularly updated as new threats and exploits are discovered, making them a valuable resource for companies aiming to reduce risk.

Machine learning models are increasingly used in smart contract auditing for their ability to find complex vulnerabilities. These models are trained using large sets of previously audited contracts, labeled according to whether vulnerabilities existed. Over time, the system learns to recognize both obvious bugs and rare edge cases.

For example, supervised learning can be employed to spot logical errors by comparing the intended behavior to the implemented code. Unsupervised learning, meanwhile, may help identify novel attack vectors by analyzing unusual patterns in transaction flows.

Despite its promise, machine learning requires careful tuning and extensive data. False positives and negatives are still possible, necessitating a balanced approach that blends automated and manual inspection.

Security vulnerabilities commonly found in smart contracts include:

• Reentrancy Attacks: Where malicious actors repeatedly call functions before the initial execution completes, leading to unauthorized withdrawals.
• Integer Overflow and Underflow: Mistakes in arithmetic can result in values that exceed their intended limits, creating loopholes for attackers.
• Access Control Issues: Failure to restrict function access allows unauthorized parties to perform critical operations.
• Logic Errors: Misalignment between contract logic and intended rules.
• Uninitialized Storage Pointers: Can allow overwrite of contract state or execution of unintended code.
• Front-running: Exploiting transaction ordering on public blockchains.

AI-powered auditing tools systematically scan contracts for these and other evolving vulnerabilities.

Security vulnerabilities commonly found in smart contracts include:

• Reentrancy Attacks: Where malicious actors repeatedly call functions before the initial execution completes, leading to unauthorized withdrawals.
• Integer Overflow and Underflow: Mistakes in arithmetic can result in values that exceed their intended limits, creating loopholes for attackers.
• Access Control Issues: Failure to restrict function access allows unauthorized parties to perform critical operations.
• Logic Errors: Misalignment between contract logic and intended rules.
• Uninitialized Storage Pointers: Can allow overwrite of contract state or execution of unintended code.
• Front-running: Exploiting transaction ordering on public blockchains.

AI-powered auditing tools systematically scan contracts for these and other evolving vulnerabilities.

Blockchain history offers multiple examples of smart contract exploits resulting in loss:

• The infamous DAO hack in 2016 led to the theft of millions of dollars due to a reentrancy vulnerability.
• In 2020, dForce suffered an attack exploiting improper use of ERC-777 tokens, resulting in significant financial loss.
• More recently, several DeFi projects faced flash loan attacks owing to a lack of input validation and logic checks.

Each incident underscores why comprehensive auditing — powered by both AI systems and skilled professionals — is essential before contracts go live.

An effective AI-powered auditing process typically involves the following steps:

1. Code Ingestion and Parsing: The platform imports the smart contract code and parses it for analysis.
2. Pattern Recognition: Algorithms identify known vulnerability signatures.
3. Semantic Analysis: The logic and flow of the program are compared with intended behavior.
4. Behavioral Modeling: Machine learning models simulate contract execution under various scenarios.
5. Automated and Manual Review: Flagged issues are investigated by security professionals.
6. Report Generation: Comprehensive reports are generated, detailing findings, recommendations, and remediation steps.
7. Continuous Monitoring: Some platforms monitor live contracts for suspicious changes or behaviors that can indicate exploitation.
8. The integration of AI and manual review creates a robust framework for effective smart contract security.

Implementing AI-powered smart contract auditing offers several advantages for businesses:

• Shorter Auditing Periods: Automated scanning accelerates the process, saving development time.
• Greater Detection Rates: AI often catches subtle bugs missed during manual reviews.
• Cost Efficiency: Early detection of vulnerabilities reduces costly fixes post-deployment.
• Scalability: As contract volumes grow, AI platforms can handle larger workloads with little additional resource investment.
• Improved Trust: Clients and users gain confidence in the reliability of smart contract-based solutions.

AI-powered auditing, while advanced, comes with its own challenges:

• Data Quality: Machine learning relies on clean, comprehensive datasets from previous audits.
• Complexity of New Attack Types: Smart contract exploits evolve rapidly, necessitating ongoing updates to AI models.
• False Positives/Negatives: No tool can guarantee detection of every issue; manual review remains essential.
• Integration with Existing Workflows: Adding new tools requires collaboration between developers, security teams, and audit platforms.
• Addressing these limitations requires continuous collaboration between AI researchers, blockchain developers, and auditing professionals.

The adoption of AI-powered auditing is growing across industries that use smart contracts. Financial services, supply chain logistics, and healthcare organizations seek greater protection as they integrate blockchain solutions. Industry standards around smart contract auditing are also evolving, with more regulators mandating security checks prior to deployment.

Future trends likely to shape the sector include:

• AI platforms that self-update as new threats emerge.
• Greater automation in contract deployment and monitoring.
• Integration of AI tools with popular smart contract development frameworks.
• Ongoing collaboration between AI and cybersecurity experts.

For businesses considering smart contract deployment, early engagement with these technologies is a prudent step.

• Writing Clean, Commented Code: Clearly document intent, logic, and edge cases for easier review.
• Using Frameworks and Libraries with Security Features: Rely on established components proven to reduce risks.
• Regular Testing and Simulation: Run multiple test cases to check contract behavior under stress.
• Code Reviews and Peer Audits: Invite multiple perspectives to inspect and validate code.
• Auditing Before and After Deployment: Conduct security checks at every phase, especially after changes.

AI tools can complement these steps, but disciplined development practices and repeated reviews make smart contracts truly resilient.

Selecting an auditing approach depends on contract complexity, industry requirements, and organizational needs. When choosing AI-powered solutions, businesses should consider:

• Platform Capabilities: Does the tool support the relevant blockchain and contract language?
• Integration with Development Workflows: Can the solution plug into CI/CD systems for continuous auditing?
• Reporting and Alerting Features: Does it offer clear, actionable reports?
• Vendor Expertise: Are skilled security professionals available to review flagged issues?
• Ongoing Support and Updates: Will the platform adapt as new vulnerabilities emerge?

Reputable partners and well-reviewed AI platforms provide peace of mind when launching critical blockchain projects.

Blockchain smart contracts can be updated or redeployed as projects evolve. However, new code changes can reintroduce vulnerabilities. Static audits performed before deployment may miss issues that arise after the contract interacts with live assets. This makes continuous, AI-powered monitoring a vital part of ongoing contract management.

Automated tools alert administrators to suspicious activity, unexpected program flows, and changes in contract storage. Real-time insights make it possible to respond promptly to emerging threats.

With the expansion of blockchain across fintech, healthcare, and government, regulatory scrutiny of smart contract security is increasing. Auditing and documentation help businesses comply with evolving standards, including those related to money laundering prevention, data privacy, and transaction reporting.

AI-powered solutions assist in automating compliance checks and generating reports required by auditors and regulators.

Businesses considering Smart Contract Development Services should keep the following points in mind:

• Review the security policies of any development partner.
• Request detailed audit reports and sample methodologies.
• Verify that AI-assisted auditing is part of the quality assurance process.
• Seek demonstration of continuous monitoring capabilities.
• Demand transparency around how flagged issues are investigated and resolved.

Engagement in these areas helps clients manage risk and build reliable blockchain solutions.

Q1: What is the difference between manual and AI-powered auditing?

Manual auditing involves human security experts reviewing code for vulnerabilities. AI-powered auditing uses algorithms and machine learning to scan code automatically. Most comprehensive audits combine both approaches.

Q2: Can AI tools find all vulnerabilities in smart contracts?

AI tools improve detection rates but are not foolproof. Complex or novel vulnerabilities may escape detection, so manual inspection remains necessary.

Q3: How often should smart contracts be audited?

Contracts should be audited prior to deployment and after any significant updates or changes. Continuous monitoring can help catch threats in real time.

Q4: Are AI-auditing solutions suitable for all blockchain platforms?

Most leading AI-powered auditing tools support popular platforms like Ethereum and Binance Smart Chain, but compatibility should be verified before adoption.

Q5: What are the main costs involved in smart contract auditing?

Costs depend on contract complexity, auditing methodology, and whether you use manual or AI-powered services. Investing in comprehensive audits helps reduce the risk of costly attacks later.

For businesses new to smart contracts, starting with these steps can lead to secure deployments:

1. Define project requirements and intended contract logic.
2. Engage with a Smart Contract Development Services provider with proven security credentials.
3. Request for AI-powered auditing as part of the development process.
4. Perform detailed testing and simulation prior to launch.
5. Deploy contracts with continuous monitoring systems in place.
6. Regularly update and re-audit contracts in response to changes.

These steps create a foundation for reliable blockchain solutions.

In the fast-changing world of blockchain, smart contracts promise automation and trust. But these benefits depend on rigorous security practices and effective auditing. By using AI-powered tools alongside skilled professionals, businesses can protect digital assets, maintain compliance, and earn user trust.

AI-powered smart contract auditing offers speed, accuracy, and efficiency, but should always be integrated with thorough manual inspection and smart development practices. As the technology matures, businesses that prioritize security are best positioned to succeed in the growing blockchain ecosystem.

If you’re considering blockchain integration for your organization, working with experienced professionals makes all the difference. [codezeros] specializes in Smart Contract Development, combining cutting-edge tools and expert support to design, audit, and launch secure contracts tailored to your goals.

Contact codezeros today to learn how our Smart Contract Development Services can secure your blockchain transactions and help your business move forward with confidence.

Trusted Editorial content, reviewed by leading industry experts and seasoned editors. Ad Disclosure

Bitcoin Hyper ($HYPER) is the Layer 2 solution to Bitcoin’s subpar performance that keeps the network miles behind providers like Solana.

Bitcoin’s primary downfall is the protocol’s limitation to 7 transactions per second (TPS), which pales in comparison to Solana’s 1,183 real-time TPS and 2,909 max TPS calculated per 100 blocks.

Even Ethereum racks in three times Bitcoin’s performance with an average of 20.04 and a maximum of 63.24 TPS.

Bitcoin Hyper aims to address this very problem to bring Bitcoin to modern standards in terms of transaction speed and costs.

How Bitcoin Hyper Changes the Bitcoin Ecosystem

Bitcoin Hyper’s ($HYPER) Canonical Bridge is the heart of the project, linking Bitcoin’s native ecosystem to Hyper’s Layer 2. Users can deposit their Bitcoins into the Bridge, which then mints their equivalent into Hyper’s Layer 2.

You’ll send Bitcoins to a designated address, the Canonical Bridge will lock them and mint wrapped $BTC on the Layer-2 for you to use.

The role of the Canonical Bridge is to decongest the Bitcoin network and speed up transaction confirmation with the help of the Bitcoin Relay Program, which verifies and confirms transaction details.

The Solana Virtual Machine (SVM) is another useful addition, enabling the ultra-fast execution of smart contracts and DeFi apps, lifting Bitcoin’s performance to Solana-grade levels.

These tools turn Bitcoin Hyper into a high-end Layer that enables near-instant finality, scalability, and smooth performance, while benefiting from Bitcoin’s security and brand recognition.

Bitcoin Hyper also supports a variety of perks, like swaps, staking, and lending, dev tools for Rust-based smart contracts, and multi-wallet integrations.

Presale Status and Performance

The $HYPER presale started in May and it just broke through the $8M threshold, marking an outstanding performance and showcasing the investor’s trust in the project.

$HYPER is now listed at $0.012625 and comes with a staking APY of 133%.

Holding $HYPER qualifies you for several benefits, including staking rewards, voting rights, and developer bounties.

As a $HYPER holder, you’ll also get privileged access to upcoming presales and beta features before they hit the public sphere.

Coinsult and SpyWolf have audited the presale and deemed it safe for investors. According to the findings, the owners cannot mint new tokens, cannot blacklist addresses, and there’s no risk of a honeypot.

If you want to invest, it’s as easy as visiting the official presale page and buying your $HYPER there.

Bitcoin Hyper Development and $HYPER Price Prediction

What we do know is that Bitcoin Hyper is currently one of the most promising crypto projects of 2025. The project’s roadmap consists of five phases, each with several planned features and upgrades.

Bitcoin Hyper is nearing the end of Phase 2 and plans to reach full maturity in 2025. So, we’re not talking about investing in a several-years-long project; it’s happening now.

Based on the project’s details and scope and $HYPER’s presale performance, our analysts expect a post-launch boom, likely bringing $HYPER up to $0.32 by the end of 2025.

This translates to a 11,781% five-year return rate. An investment as low as $100 could turn into $11,781 in just five years, provided $HYPER doesn’t go even higher.

This prediction isn’t a certainty, but an educated expectation based on the project’s long-term potential and scope.

Should You Buy $HYPER?

Whether you should buy $HYPER or not depends on your risk tolerance and investment strategy. However, given the project’s details and presale performance, we believe that Hyper is on its way to resounding success.

If Bitcoin Hyper manages to succeed where the Lightning Network failed, $HYPER could see wealth-building chart performances over the next two to five years.

This isn’t financial advice. Do your own (DYOR) research and invest wisely.

Editorial Process for bitcoinist is centered on delivering thoroughly researched, accurate, and unbiased content. We uphold strict sourcing standards, and each page undergoes diligent review by our team of top technology experts and seasoned editors. This process ensures the integrity, relevance, and value of our content for our readers.

The blockchain payments firm Ripple says it has agreed to acquire the stablecoin-powered payment infrastructure platform Rail for $200 million.

In a statement, Ripple says it is acquiring the Toronto-based Rail amid rising demand for transactions involving stablecoins – cryptocurrencies pegged to another asset such as the US dollar.

Ripple says the deal will allow the two companies to deliver the most comprehensive stablecoin payments solution available in the market.

Ripple says the acquisition will enable customers to adapt to the rising popularity of stablecoins by offering comprehensive stablecoin pay-ins and pay-outs across key corridors, sans the need to hold crypto on balance sheets.

The integration will also support payments across a range of digital assets, which include XRP and Ripple USD (RLUSD), the US dollar-backed cryptocurrency that the San Francisco-based firm launched in December 2024.

Says Ripple President Monica Long,

“Stablecoins are quickly becoming a cornerstone of modern finance, and with Rail, we are uniquely positioned to drive the next phase of innovation and adoption of stablecoins and blockchain in global payments.”

Announcing the development in a post on the social media platform X, Ripple CEO Brad Garlinghouse says the team-up will create a powerhouse in the stablecoin market.

“Ripple + Rail together will be THE go-to provider of stablecoin payments infrastructure for global financial institutions around the world.”

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XRP is making headlines again as the network has recorded a dramatic surge, surpassing its $1 billion daily transfer volume for the first time in more than a month. The spikes come to a’s heel Powerful price rallyThere are signs that large owners, also known as whales, may play a key role in driving. Next leg of cryptocurrency.

XRP transactions reach major highs

The XRP network shows new strength and growth Transaction volume is rapidly increasing It exceeds $1.07 billion. This spike follows a massive 67% rally in digital asset prices. Climbed over $3.5 Earlier this month after a long period of consolidation. This impressive price surge is one of the most aggressive upward moves in recent months.

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The revival of both network activity and price signals Growing market momentum And perhaps the change in emotions between investors and traders. Particularly, XRPSCAN, platforms that record data from XRP ledgers; It was revealed A large amount of transfers was recorded on July 18th, representing the largest daily figure for cryptocurrency in more than a month.

What is particularly noteworthy about this recent volume surge is that it doesn’t seem to drive a speculative termination alone. Increase in funds between the account and the Increased user address We propose a deeper level of network usage.

XRPSCAN data shows that XRP Payment Volume On July 18th, one account rose to 1.72 billion people from one account. Furthermore, the number of successful transactions executed during the same period totaled over 2.08 million. New Active Account Also, July 18 recorded its highest daily count of 10,279 last month, rising significantly.

With blockchain metrics flashing green and XRP prices regaining bullish momentum, the surge in daily transfers shows a fresh wave of satiety confidence among holders. Typically, such synchronized growth can point to the intentional accumulation or distribution of whales moving large sums during pivotal market shifts.

Whales will be longer with XRP ahead of potential surges

A new report from analysts shows that XRP Whale Activities It’s back in earnest just a few days after cryptocurrency networks surged beyond the $1 billion transfer volume, as certain holders have been running for a long time. Several long positions have been opened in a price range of nearly $3.44, totaling over $3.8 million, raising speculation that investors may be acting in insider-level trust.

X Social Media analyst KingXRP recently revealed that there are whales input $1.52 million in XRP, the buzz grows around the imminent Realfi integration, XRP ledger Unlock a massive $650 trillion market.

Related Reading: XRP Open Interest hits a fresh ATH of over $10 billion, but will the price continue?

Radar, who adds fuel to the hype, is another market expert, It has been reported Two additional whale-sized positions worth $102 million and $1.31 million have been opened within the same price range. This movement shows a clear change in whale emotions, suggesting an increase in confidence Possibility of XRP breakout.

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