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BailSec
@bailsecurity
Smart contract audits with meticulous attention to detail. Exposing risks that others overlook. Request security review:
102 Following    3.4K Followers
We are currently in the process of conducting our next audit for our partners @lista_dao. Be sure to keep yourself informed by following @bailsecurity for important updates. BailSec - exposes risks that others overlook ✅
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We're currently in the process of conducting our audit for our partners @0xProject. Be sure to keep yourself informed by following @bailsecurity for important updates. BailSec - exposes risks that others overlook ✅.
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We're currently in the process of conducting our audit for our partners @0xProject. Be sure to keep yourself informed by following @bailsecurity for important updates. BailSec - exposes risks that others overlook ✅.
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Some of our partners ran their codebases through every major AI auditing tool available. Then they tried ours. The delta was... uncomfortable. All our partners and us will share the results very soon.
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Publishing our audit report for our partners @lista_dao. BailSec was tasked with an audit of @lista_dao Yield Buffer scope. Link to the report on Github👇:
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I have now tried out 5 different AI auditing tools and I can comfortably say that the @bailsecurity AI auditing tool is by far the best. It was only a partial scan but it found issues that the other tools didn't with almost zero false positives. Exciting to see how this will change the game of smart contract development over the coming years.
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BailSec has undergone a fresh facelift. We have refined the design, sharpened the overall look, and given our website a cleaner, more modern face that better represents who we are and where we are heading. Visit our site and let us know what you think. Major announcements and new developments are coming in the following weeks.
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I had the exact same opinion, on top of that, I thought that it doesn’t make sense to build something if someone else is already doing it since > 1 year. I then reminded myself that most audit companies are not providing great audit services and I translated that into the option that the corresponding tools might not be great either. Started working on something and so far at N=6 it turns out it wasnt really hard at all to build something which is around 10x better than the rest.
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A strong vision gets attention. A strong pitch gets funding. Cointelegraph Accelerator startups are gearing up for this week's Pitch Practice Session, where founders will receive feedback on market positioning, growth strategy, fundraising, and execution. Featuring: • Timothee Semelin, Skynet Trading • Irem Alp, Web3 GTM Advisor • Victor R., Bailsec • Alessia Baumgartner, DWF Labs
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First of all: It will always be important to have human auditors. Intuition and logical sense of chaining bugs to specific impacts cannot be replaced. BUT, what would be if: There is an AI tool which is legitimately great and finds more than most traditional audit companies while no one knows about it just yet, while at the same time there is heavy marketing about all other AI tools that do not even remotely come close? All @bailsecurity audits now just got an upgrade which is at least adding ON TOP of the two team audit the full coverage of traditional audit companies, for free of charge. Instead of replacing human auditors and relying more on AI, we will add AI on top of the process to increase the coverage without any extra cost.
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Onboarding @layerv_official as our new client 🤝. LayerV is the OPEN volatility layer of DeFi: where volatility becomes yield, and leverage comes without liquidation. Details for the audit are currently being finalized, and the process is set to begin very soon.
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We're currently in the process of conducting our audit for @symbioticfi. Be sure to keep yourself informed by following @bailsecurity for important updates. BailSec - exposes risks that others overlook ✅
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I will be upfront and compact: - our AI tool has already better coverage than most audit companies (and no false-positives) - every @bailsecurity audit will now include our AI tool as component Everyone who knows me, knows I’m not talking any bullshit.
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Our audit report for our partners @lista_dao is ready. BailSec was tasked with an audit of @lista_dao Credit Loans scope. Link to the report on Github👇:
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We're currently in the process of conducting an audit for @OctantApp. Be sure to keep yourself informed by following @bailsecurity for important updates. BailSec - exposes risks that others overlook ✅.
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Last week, we completed the second audit of Homelander, performed by Bailsec Thank you for your work, @bailsecurity , BailsecVik, @0xCharlesWang 🩷 You are true professionals — I really enjoyed working with you on this🤝🤝🤝
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Over the past few weeks, some SR were able to pass the @bailsecurity onboarding test. Congratulations! Some others were removed due to insufficient performance. It’s similar as the SP500, always going up over time due to rebalance. Unfortunately I cannot say the same about many „competitors“.
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@bailsecurity @MEV_X_project The best audit team! Professional, efficient, and a pleasure to work with 🫶🏼
Our audit report for @MEV_X_project is ready. BailSec was tasked with a differential audit. Link to the report on Github👇:
The true beauty of smart contract auditing, explained to the non-technical reader: Smart contract auditing is like reading a book from every possible angle. At first, you check the obvious things: spelling mistakes, grammar issues, missing words, broken sentences. In code, these are the simple bugs: missing validations, incorrect conditions, unsafe assumptions, wrong arithmetic, or access control mistakes. But a real audit goes much deeper. You are not only reading the words. You are questioning the entire story. You read the book from the beginning to see whether the plot makes sense. You read it from the end and ask whether the conclusion could have been reached in an unexpected way. You compare the introduction with the final chapter and ask whether the promise of the protocol matches what the code actually enforces. You check whether chapter three quietly contradicts chapter seven. You ask whether a side character introduced on page ten can suddenly take control of the ending. Then the conditions become harder. You read the book at midnight, when visibility is low. This is like auditing obscure edge cases: low liquidity, unusual token decimals, empty states, paused markets, stale prices, zero amounts, maximum values, or rare execution paths that most users will never touch. You read the book while one page is burning. This is like analyzing the protocol under stress: a liquidation cascade, a governance change, an oracle failure, a reentrancy attempt, a malicious token transfer, or a sudden market move. The question is not whether the system works when everything is calm. The question is whether the story still holds together while parts of it are actively breaking. You read the book while someone else is rewriting a chapter. This is governance risk, upgradeability, admin intervention, parameter changes, and external dependencies. A function may be safe today, but unsafe tomorrow if a trusted role changes a fee, replaces an oracle, modifies a whitelist, or upgrades an implementation. You read the book while two readers are racing to finish the same sentence. This is MEV, frontrunning, sandwiching, transaction ordering, and state-dependent execution. A line of code may be correct in isolation, but exploitable when another transaction can arrive before it. You read the book in a language where some words look identical but mean different things. This is token behavior: fee-on-transfer tokens, rebasing tokens, tokens with unusual decimals, ERC20s that return no boolean, or balances that can change without the protocol explicitly updating its own accounting. You read the book with missing pages, duplicated pages, and pages that only appear if you take a very specific path. This is control-flow analysis. The auditor has to follow every branch, every modifier, every external call, every state update, and every assumption. A bug often does not live in a single line. It lives in the gap between two lines that were never meant to interact. The deeper skill is not just finding mistakes. It is learning how to attack the narrative. What must always be true? Who is allowed to change it? What happens if this value is stale? What if this balance was manipulated? What if this state was deleted before being read? What if the protocol updates accounting before confirming the external effect? What if the user receives slightly less due to rounding? What if the system silently assumes a condition that is never actually enforced? Smart contract auditing is therefore not only code review. It is adversarial reading. You read forward, backward, sideways, under pressure, in the dark, and while the pages are moving. You are trying to understand the protocol’s intended story so precisely that you can discover every place where the code tells a different one.
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