rewrite this title CODESPECT Rolls Out SpecSiege, A Curated Audit Contest Platform For Web3 Security | Metaverse Post

by
Alisa Davidson

Published: July 27, 2026 at 10:30 am Updated: July 27, 2026 at 9:57 am

by Anastasiia O

Edited and fact-checked:
July 27, 2026 at 10:30 am

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Blockchain security firm CODESPECT has officially launched SpecSiege, a competitive audit contest platform designed to provide a second layer of scrutiny for Web3 protocols after initial security reviews. The platform, which recently completed its first contest, positions itself as a curated alternative to open bug-bounty programs, connecting hand-picked security researchers with production codebases in a controlled, competitive environment.

According to CODESPECT, SpecSiege operates as a closed-circle re-audit mechanism: after the firm completes its standard audit of a protocol, the fixed codebase is opened to a vetted cohort of up to 50 researchers who compete for a predetermined reward pool. This structure is intended to deliver an independent second opinion at a fixed cost, with findings remaining confidential and disclosed solely at the protocol’s discretion. The first contest, which focused on an ERC-6909 bond platform, has already concluded, with results and payout distributions publicly available on the SpecSiege website. Top performers in the inaugural cohort earned between approximately €118 and €3,902 depending on the severity and volume of their findings.

Curated Cohorts and Fixed Pots as Differentiators

What distinguishes SpecSiege from conventional audit contests is its selective admission model. Rather than opening contests to an unrestricted crowd, CODESPECT caps participation at 50 researchers per event, sourcing half from its internal leaderboard and half from new applicants. The company describes this blend as a deliberate effort to balance proven expertise with “fresh eyes,” arguing that novel perspectives are often the most valuable asset in uncovering edge-case vulnerabilities.

The platform also departs from traditional per-finding billing in favor of a fixed-pot model, allowing protocols to set their budget upfront without exposure to variable costs. Researchers apply through a unified account system, submit findings privately during the contest window, and are judged live by a lead judge before payouts are distributed on a severity-weighted points basis. CODESPECT emphasizes that the model excludes automated or AI-generated submissions, focusing instead on human-driven analysis. As the platform opens additional contests, it aims to establish a standardized pipeline for post-audit validation, offering protocols a battle-tested public double-check while providing researchers with structured, high-stakes opportunities to demonstrate their skills.

Alisa, a dedicated journalist at the MPost, specializes in crypto, AI, investments, and the expansive realm of Web3. With a keen eye for emerging trends and technologies, she delivers comprehensive coverage to inform and engage readers in the ever-evolving landscape of digital finance.

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