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<title>DeFiSecurity: Measure, evaluate, and learn from DeFi attacks | Berkeley RDI</title>
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<h5 class="text-shadow mb-0">DeFi Attacks</h5>
<p class="mb-3 text-shadow">“Measure, evaluate and learn from past DeFi attacks”</p>
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<p><b>As seen in:</b></p>
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<h1 class="mt-0">“SoK: Decentralized Finance (DeFi) Attacks”</h1>
<p class="text-secondary">2023  | Liyi Zhou · Xihan Xiong · Jens Ernstberger · Stefanos Chaliasos · Zhipeng Wang · Ye Wang · Kaihua Qin · Roger Wattenhofer · Dawn Song · Arthur Gervais | https://arxiv.org/abs/2208.13035</p>
<p class="text-justify">We investigate 77 academic papers, 30 audit reports, and 181 real-world incidents. Our open data reveals several gaps between academia and the practitioners' community. For example, few academic papers address "price oracle attacks" and "permissonless interactions", while our data suggests that they are the two most frequent incident types (15% and 10.5% correspondingly). We also investigate potential defenses, and find that: (i) 103 (56%) of the attacks are not executed atomically, granting a rescue time frame for defenders; (ii) SoTA bytecode similarity analysis can at least detect 31 vulnerable/23 adversarial contracts; and (iii) 33 (15.3%) of the adversaries leak potentially identifiable information by interacting with centralized exchanges.</p>
<p class="mb-0"><a class="btn btn-primary btn-lg" href="https://arxiv.org/pdf/2208.13035.pdf" target="_blank"><i class="fa fa-file-lines"></i> Read Paper</a> </p>
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<!-- <h1><i>About the attacks:</i></h1>-->
<!-- <p class="mb-5 w-50 m-auto">We have identified over 25 personal data attributes that can be covertly harvested in VR. A select few of these attacks are described below.</p>-->
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<!-- <h4 class="mb-3">Anthropometrics</h4>-->
<!-- <p class="mb-3">Attackers can directly measure a user's anthropometrics from VR telemetry. While basic headset-and-controller setups are sufficient to reveal height, arm lengths, and wingspan, more advanced full-body tracking systems can yield additional anthropometric measurements. Additionally, measuring the distance between the virtual cameras used to render an image for each eye can also reveal a user's interpupillary distance (IPD).</p>-->
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<!-- <p>Attackers can observe the behavior of the user to reveal additional attributes. For example, observing a user's direction of gaze while solving a puzzle can reveal the languages they speak.</p>-->
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<!-- <h3 class="text-truncate">Vivek Nair</h3>-->
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<!-- <h3 class="text-truncate">Gonzalo Munilla Garrido</h3>-->
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<!-- <h3 class="text-truncate">Dawn Song</h3>-->
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<p class="m-0">Copyright ©2022 UC Regents | Email us at <a href="mailto:[email protected]">[email protected]</a>.</p>
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