Vulnerability Scanner Solutions

In the realm of vulnerability detection, Sec3's WatchTower system represents a cutting-edge solution for real-time threat monitoring on Solana. The platform continuously analyzes on-chain activity to identify suspicious patterns like unusual flash loan transactions, fake account creation, and abnormal instruction cycles that could indicate potential attacks. Their ability to detect preparation steps before attacks are executed gives protocols crucial time to implement preventive measures.WatchTower's sophisticated monitoring capabilities are enhanced by OwLLM, their Web3-native AI model trained on millions of historical transactions including both normal operations and known attacks. This combination of real-time monitoring and AI-powered analysis helps protocols maintain robust security post-deployment. The system's customizable alert thresholds and notification methods allow projects to tailor their security monitoring to their specific risk profiles and operational needs.

Cairo-fuzzer represents a cutting-edge approach to vulnerability detection and security testing in the blockchain space. By implementing automated testing techniques specifically designed for Cairo and Starknet smart contracts, it provides developers with a powerful tool to identify potential security flaws and edge cases before they can be exploited in production environments.The system's sophisticated input mutation capabilities enable comprehensive testing of smart contract functionality, systematically exploring different execution paths to uncover potential vulnerabilities. Its automated approach to security testing, combined with its specific focus on Cairo and Starknet environments, makes it an essential tool for development teams looking to ensure their smart contracts are robust and secure. The platform's ability to generate and execute numerous test cases automatically helps teams identify and address security issues early in the development cycle.

In the realm of vulnerability detection, Hypernative delivers cutting-edge scanning capabilities through its multi-layered security approach. The platform's machine learning models continuously scan blockchain transactions and contract interactions to identify potential exploits and security risks, providing real-time alerts and automated responses to protect protocols and their users.Their Security Oracle implements sophisticated transaction-level validation, examining patterns and sources against established security rules to prevent malicious activities. The Screener component adds another layer of protection by maintaining an extensive database of high-risk addresses and monitoring for suspicious behavior patterns. This comprehensive approach to vulnerability detection, combined with their automated response capabilities, positions Hypernative as a crucial tool for maintaining security across Solana protocols.

Immunefi's vulnerability detection capabilities are powered by their extensive network of 45,000+ security researchers and their advanced Magnus platform, which incorporates AI-powered security agents for automated threat detection. Their system has proven highly effective at identifying critical vulnerabilities before they can be exploited, with researchers having prevented billions in potential losses through early detection and reporting. The platform's standardized severity classification system ensures consistent evaluation of potential threats.Their managed triage service provides expert validation of vulnerability reports, filtering out false positives and ensuring only legitimate threats are escalated to project teams. The platform's integration of multiple security tools through Magnus enables comprehensive vulnerability scanning and real-time threat response. Immunefi's audit competitions also serve as intensive vulnerability detection events, bringing multiple expert perspectives to bear on potential security issues within a defined timeframe.

GoPlus Security operates a real-time vulnerability detection network processing hundreds of millions of checks daily across more than 30 blockchains. Its Malicious Address API maintains a continuously updated library of known phishing wallets, exploit addresses, and fraudulent actors. A Phishing Site Detection API flags malicious URLs impersonating legitimate protocols, while an NFT Security API detects counterfeit assets and malicious contract behavior. The platform's pre-execution model intercepts threats before they complete rather than monitoring after the fact. A Signature Data Decode API identifies malicious or misleading contract interaction signatures before signing, and a dApp Security Info API aggregates risk signals across decentralized applications. For Solana, a Transaction Simulation API models transaction outcomes before broadcast, giving users and developers visibility into potential issues before funds move.

CoinFabrik applies a structured vulnerability detection workflow to Solana programs, using X-Ray for pattern scanning, Cargo Audit for dependency CVEs, and Cargo Clippy for coding errors, with auditors also developing proof-of-concept exploits to confirm severity. The firm targets specific Solana weaknesses including missing ownership checks, unchecked arithmetic overflows, insufficient signer validation, and unvalidated cross-program invocations across its client engagements. Beyond paid audits, CoinFabrik publishes open-source scanning tools including Scout, an extensible static analyzer for Soroban, ink!, and Substrate, along with STACY for Clarity and Stacks and CyScout for Solidity and CodeQL. SOLbricks is an additional Solana-specific smart contract testing tool the firm built for developers on the network, extending vulnerability detection capabilities beyond client engagements into the broader developer community.

Hashlock offers a free AI Audit Tool at aiaudit.hashlock.com, an automated scanner powered by custom-tuned large language models trained on Hashlock's library of manual audit reports. The tool flags potential vulnerabilities in smart contract code, provides impact summaries, and recommends fixes, functioning as a preliminary triage check before a full professional engagement rather than a replacement for manual review. The AI scanner is designed to complement Hashlock's manual audit methodology, which combines automated tooling with expert code review to catch vulnerability classes that automated tools alone miss. Integration with established open-source static analysis tools including Slither and Mythril is planned, extending detection coverage across both known vulnerability patterns and novel attack vectors relevant to Solana and multi-chain smart contract environments.

QuillAudits develops QuillShield, an AI-powered scanning tool trained on historical exploit data that applies machine learning to detect smart contract vulnerabilities before deployment. The tool incorporates behavioral state analysis, semantic guard analysis for access control inconsistencies, state invariant detection for accounting desyncs, and oracle and flash loan attack analysis to surface issues that manual review alone may miss. Alongside QuillShield, QuillAudits integrates automated fuzzing through Echidna, Medusa, Foundry, and Chimera, executing thousands of edge-case scenarios as part of each standard audit engagement. The firm also provides post-deployment on-chain monitoring with configurable event alerts, extending vulnerability detection beyond the pre-deployment audit phase into live production environments.

ZAN's Smart Contract Review product delivers automated vulnerability detection using a library of more than 150 detection rules alongside AI-enhanced fuzz testing and formal verification capabilities. The automated scanning approach enables rapid identification of issues during development, reducing manual review burden and shortening feedback cycles for teams building on Solana and other networks. Machine-speed screening at scale makes the service practical for projects with high deployment frequency or tight pre-launch timelines. ZAN's scanning capabilities are backed by AntChain Open Labs' research in applied cryptography and smart contract analysis. Teams can layer automated scanning with ZAN's Expert Audit service for manual review, creating a progressive security workflow that scales to project complexity and risk level. This combination of automated detection and human oversight — sourced from a single provider operating financial-grade infrastructure at scale — positions ZAN as a practical option for both independent developers and enterprise security teams.

Kerberus offers Sentinel3, a browser extension that scans Web3 sites and pending transactions in real time, blocking phishing domains, malicious transaction structures, and address poisoning attempts before a user's wallet connects or signs. The tool covers 1,000+ EVM chains and Solana, where dedicated support launched in February 2025 and reached full integration by November 2025. Company research documented 8,000+ phishing transactions on Solana between October 2024 and March 2025 and attributes roughly $90 million in Solana losses during H1 2025 to phishing and social engineering. Sentinel3 requires no blockchain expertise — a one-click install activates continuous background scanning without disrupting trading or minting workflows. It was the first Chrome extension to earn VaaSBlock's Risk Management Authentication badge, independently validating its 99.9% claimed detection rate. After acquiring Pocket Universe in August 2025, Kerberus extended coverage to roughly 200,000 active users and added $30,000 per-transaction insurance through a third-party partner.

The Cipher Protocol performs multi-surface threat detection for Solana self-custody wallets across four vectors: file scanning for malware payloads, process-memory monitoring for keyloggers and injected code, clipboard protection against address-substitution attacks, and network anomaly detection for suspicious outbound traffic. These layers are designed to catch sophisticated multi-stage exploits — where individual steps appear benign — before they reach execution. Orbit Core extends detection into the DeFi layer with pre-connect canary probes that test dApps for drainer behavior before any wallet approval is requested. Adaptive risk scoring assigns a threat level to each interaction in real time, triggering warnings, re-authentication, or hard blocks based on severity. This upstream approach intercepts risks at the connection phase rather than after malicious instructions reach the chain, reflecting CipherLabs' view that effective scanning must cover the full attack surface.

Halborn's offensive security team of over 100 practitioners conducts structured vulnerability detection across blockchain infrastructure, including protocol-level scanning and zero-day research. The firm has disclosed five published zero-day vulnerabilities and developed the Blockchain Vulnerability Scoring System (BVSS), a standardized severity classification framework for blockchain-specific vulnerabilities analogous to the CVE/CVSS system used in traditional software security. On Solana, Halborn's vulnerability detection work extended to the Sealevel runtime and SPL Token 2022 program, where pre-deployment scanning identified exploitable conditions before mainnet launch. Certified to ISO 27001:2022 and SOC 2 Type II, with practitioners holding CISSP, OSCP, and CISA credentials, Halborn delivers systematic code analysis and continuous risk identification that extends through project launch and beyond.

Almanax integrates via a GitHub app to run continuous security reviews on every pull request, flagging vulnerabilities before they reach production and optionally blocking merges for high-risk code. Its detection layer combines proprietary language models with real-time threat intelligence and ecosystem-specialized models tuned for Solana, EVM chains, Stellar, and Aptos. Teams can also initiate manual codebase scans with reachability analysis for third-party alert triaging. Beyond detection, Almanax generates automated patch suggestions with committable code changes and supports custom security rules defined in plain English. Its STRIDE-based automated threat modeling continuously maps system architecture and trust boundaries as code evolves. The platform holds SOC 2 Type II certification, offers on-premises deployment for enterprise customers, and has scanned over 100 million lines of code.

Sentry Wallet centered its core user experience on pre-signing vulnerability scanning, using its SentryAI engine to assess the risk of a proposed transaction before the user committed to signing it. This positioned SentryAI as a real-time firewall integrated directly into the transaction flow rather than a post-incident notification tool, delivering actionable risk information at the exact moment it was most relevant. The scanning engine combined on-chain data patterns with records from documented past exploit events to produce risk scores alongside plain-language explanations, covering phishing link detection, address poisoning identification, known drainer signature patterns, and malicious contract flagging across EVM networks, Bitcoin, and Solana. When a threat was detected, the system surfaced a clear description of what the transaction would do and why it raised a concern, rather than leaving users to interpret raw contract data themselves. Beyond proactive scanning, Sentry Wallet also included an Emergency Panic Vault described as a last-resort protective measure for situations where an attack was already in progress, adding a reactive layer to the platform's primarily pre-signing approach. The wallet was deployable across web, iOS, Android, Windows, Mac, Linux, and Chromebook, reflecting a multi-surface architecture designed to protect users wherever they typically interacted with Web3 applications. Founded in the United Kingdom in late 2024, the project entered the market as AI-assisted pre-signing verification was emerging as a distinct category within Web3 security tooling, with multiple projects exploring similar approaches to automated threat detection at the wallet layer. The project appears to have ceased operations by mid-2026, with its original domain repurposed for an unrelated service, but it was an early example of real-time vulnerability scanning applied to the consumer wallet experience.

HAPI Terminal is the protocol's primary interface for security professionals and integrators, providing real-time address monitoring, transaction path visualization to trace fund flows, and smart contract vulnerability detection in one tool. It draws from HAPI's continuously updated threat database, which aggregates intelligence from blockchain analytics partners and community-sourced reports processed through the Scamfari crowd-sourcing platform. HAPI Labs cybersecurity specialists additionally conduct manual investigations on complex threats requiring human analysis beyond automated detection. For individual users, HAPI Snap for MetaMask extends the same threat screening to the browser level by integrating directly with the MetaMask extension and applying AI processing to flag potentially risky on-chain actions before users confirm transactions. The protocol's oracle network is specifically engineered for low latency, operating on the principle that threat data must reach smart contracts faster than attackers can relocate stolen funds. Together these tools form a layered security stack covering individual wallets, protocol integration points, and investigative forensics.

SlowMist's MistEye platform provides Web3 threat intelligence and dynamic monitoring, tracking potential vulnerabilities and attack patterns across the blockchain ecosystem in real time. The firm complements automated monitoring with active red-team exercises and penetration testing against exchange infrastructure, wallet systems, and blockchain node configurations. SlowMist's threat research team has documented major historical Solana vulnerabilities in detail — including the Wormhole bridge exploit, where failure to validate system accounts allowed the forging of 120,000 ETH worth of fake tokens, and the Nirvana flash-loan incident that netted attackers over $3 million. This accumulated research base informs MistEye's detection patterns and reflects the firm's philosophy that continuous monitoring, not point-in-time audits, is the foundation of durable Web3 security.

Daemon Protocol operates a real-time threat detection system for Solana, scanning transactions and smart contracts for phishing addresses, malicious contract patterns, and behavioral anomalies that precede exploits or fraud. Its transaction graph mapping traces the flow of funds across wallet clusters to surface connections to known bad actors, while behavioral pattern analysis identifies unusual activity sequences that deviate from expected protocol interaction patterns. The vulnerability scanning layer covers both deployed contracts and pre-deployment code review, allowing developers to assess their programs before exposure to mainnet risk. The system maintains an evolving database of flagged addresses and contract signatures, cross-referencing new transactions against this dataset to provide early warning for protocols and users interacting with potentially compromised counterparties.