At a high level, TXSPECTOR replays history transactions and records EVM bytecode-level traces, and then encodes the control and data dependencies into logic relations. Our attack is effective in helping obtain the DNN architectures by very substantially reducing the search space of target DNN architectures. Further, we implement the proposed approach called FuzzGuard and equip it with the state-of-the-art DGF (e.g., AFLGo). We further show empirically that the performance of RELOAD+REFRESH on cryptographic implementations is comparable to that of other widely used cache attacks, while detection methods that rely on L3 cache events are successfully thwarted. the enclave mode strongly protects the memory and the state of the processor, Chris Clifton, Professor of Computer Sciences, 2020 CODASPY Research Award. We propose a software framework that continuously executes a given firmware binary while channeling inputs from an off-the-shelf fuzzer, enabling hardware-independent and scalable firmware testing. We at USENIX assert that Black lives matter: Read the USENIX Statement on Racism and Black, African-American, and African Diaspora Inclusion. Libraries cannot run as standalone programs, but instead are invoked through another application. Based on these findings, we make recommendations for future work to better serve user privacy and security needs in resourced-constrained settings. Our implementation and experiments support this claim. We find the average campaign from start to the last victim takes just 21 hours. High-confidence post-quantum encryption systems have much larger keys than ECC. We construct the first black-box spoofing attack based on our identified vulnerability, which universally achieves around 80% mean success rates on all target models. For example, experts perceive 89% of the hundreds of studied behaviors as being effective, and identify 118 of them as being among the "top 5" things users should do, leaving end-users on their own to prioritize and take action to protect themselves. Through our experiments, we identify and disclose several such weaknesses, including a class of behavior-based JavaScript evasion that blacklists were unable to detect. Muzz owns three novel thread-aware instrumentations, namely coverage-oriented instrumentation, thread-context instrumentation, and schedule-intervention instrumentation. & Tech., China; National Engineering Research Center for Big Data Technology and System, Cluster and Grid Computing Lab, Services Computing Technology and System Lab, and Big Data Security Engineering Research Center, Huazhong Univ. In this paper, we propose TXSPECTOR, a generic, logic-driven framework to investigate Ethereum transactions for attack detection. Still, these techniques are either limited to certain fault types or provide an analyst with assembly instructions, but no context information or explanation of the underlying fault. Tim Blazytko, Moritz Schlögel, Cornelius Aschermann, Ali Abbasi, Joel Frank, Simon Wörner, and Thorsten Holz, Ruhr-Universität Bochum. To mitigate such vulnerabilities, intensive research has been conducted on strengthening English-based DLTC models. App developers can help prevent this; inexpensive security assurance techniques to do so are now well established, but do developers use them? Reverse engineering is a complex process essential to software-security tasks such as vulnerability discovery and malware analysis. We empirically demonstrate on the MNIST, CIFAR10, and ImageNet datasets that our hybrid attack strategy reduces cost and improves success rates. To answer this question, we evaluate thirteen popular password managers and consider all three stages of the password manager lifecycle—password generation, storage, and autofill. In this paper, we bridge this striking gap by presenting TextShield, a new adversarial defense framework specifically designed for Chinese-based DLTC models. Our framework, using a novel technique called P2IM, abstracts diverse peripherals and handles firmware I/O on the fly based on automatically generated models. To that end, we take the first step by (a) formalizing model extraction and discussing possible defense strategies, and (b) drawing parallels between model extraction and established area of active learning. The potential attacks were scalable and could be done remotely. Mathias Payer is a security researcher and an assistant professor at the EPFL school of computer and communication sciences (IC), and adjunct associate professor at Purdue, leading the HexHive group.His research focuses on protecting applications in the presence of vulnerabilities, with a focus on memory corruption and type violations. Side-channel attacks exploiting (EC)DSA nonce leakage easily lead to full key recovery. However, liberal policies like this enable data exfiltration by unknown (and untrusted) client applications. These false classifications include data flows to third-parties that are omitted (e.g., the policy states only the first-party collects the data type), incorrect (e.g., the policy states the third-party does not collect the data type), and ambiguous (e.g., the policy has conflicting statements about the data type collection). In this paper, we leverage such inconsistencies to identify vulnerabilities in email systems. Content Delivery Networks (CDNs) serve a large and increasing portion of today’s web content. In particular, we disclose the security vulnerabilities we identified in a key security mechanism added in Android 10. As a proof, ArcHeap generates working PoC that demonstrates the discovered exploitation technique. Second, end hosts should be able to verify that their forwarding decisions are actually followed by the network. Technically, such data flows are not “leaks” if they are disclosed in a privacy policy. While previous research has examined IPS from the perspectives of survivors, we present the first measurement study of online forums in which (potential) attackers discuss IPS strategies and techniques. We also show how TXSPECTOR can be used for forensic analysis on transactions, and present Detection Rules for detecting other types of attacks in addition to the three focused Ethereum attacks. In this work, we identified that the correct operation of the runtime permission model relies on certain implicit assumptions which can conveniently be broken by adversaries to illegitimately obtain permissions from the background while impersonating foreground apps. Yet its security benefits hinge on deploying DANE correctly. Session Chairs: Sascha Fahl, Leibniz University Hannover; Kassem Fawaz, University of Wisconsin—Madison, Elissa M. Redmiles, Noel Warford, Amritha Jayanti, and Aravind Koneru, University of Maryland; Sean Kross, University of California, San Diego; Miraida Morales, Rutgers University; Rock Stevens and Michelle L. Mazurek, University of Maryland. We further study the impact of timing side-channels on the zero-knowledge proof systems used in these crypto-currencies. However, the security implication of internal threats (i.e., hardware vulnerabilities) to DNN models has not yet been well understood. Yang Xiao, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China; Bihuan Chen, School of Computer Science and Shanghai Key Laboratory of Data Science, Fudan University, China; Chendong Yu, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China; Zhengzi Xu, School of Computer Science and Engineering, Nanyang Technological University, Singapore; Zimu Yuan, Feng Li, and Binghong Liu, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China; Yang Liu, School of Computer Science and Engineering, Nanyang Technological University, Singapore; Wei Huo and Wei Zou, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China and School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China; Wenchang Shi, Renmin University of China, Beijing, China. We specifically optimize the accumulator for compatibility with SNARKs. Therefore, researchers have recently started to develop automated exploit generation techniques (for UAF bugs) to assist the bug triage process. For instance, a robustness property can enforce that no matter how many pages from benign documents are inserted into a PDF malware, the classifier must still classify it as malicious. We also found 4 recently patched bugs still vulnerable and alerted the ArduPilot team. Due to our correlated key and value perturbation mechanisms, the composed privacy budget is shown to be less than that of independent perturbation of key and value, which enables us to further optimize the perturbation parameters via budget allocation. Today’s cloud tenants are facing severe security threats such as compromised hypervisors, which forces a strong adversary model where the hypervisor should be excluded out of the TCB. This "shimming" of URL clicks can serve navigation security, privacy, and analytics purposes, and has been deployed by prominent websites (e.g., Facebook, Twitter, Microsoft, Google) for over a decade. Following the discovery of the attack, a responsible disclosure procedure was carried out, and several DNS vendors and public providers have issued a CVE and patched their systems. In six experiment deployments over nine months, we systematically launch and report 2,862 new (innocuous) phishing websites to evaluate the performance (speed and coverage) and consistency of blacklists, with the goal of improving them. This has resulted in the surge of Machine Learning-as-a-Service (MLaaS) - cloud services that provide Unlike existing visual fingerprint generators, CEAL factors in the limits of human perception, and pushes the key payload capacity of the images toward the limits of its generative model: We have built a generative network for nature landscape images which can reliably encode 123 bits of entropy in the fingerprint. It incorporates an in-memory, analytical (rather than transactional) database, making it orders of magnitudes faster than using general-purpose graph databases. Link shimming (also known as URL wrapping) is a technique widely used by websites, where URLs on a site are rewritten to direct link navigations to an intermediary endpoint before redirecting to the original destination. Modern society is increasingly surrounded by, and is growing accustomed to, a wide range of Cyber-Physical Systems (CPS), Internet-of-Things (IoT), and smart devices. Our study reveals many findings that have not yet been reported. Moreover, WebAssembly enables unique attacks, such as overwriting supposedly constant data or manipulating the heap using a stack overflow. We also found that only four email service providers support DANE for both outgoing and incoming emails, but two of them have drawbacks of not checking the Certificate Usage in TLSA records. ... Twitter Facebook Youtube. An isolation domain can include one or more processes, specific portions of code, or a Trusted Execution Environment (e.g., SGX or TrustZone). We investigate to what extent quantitative analysis of operational logs of 2FA systems both supports and challenges recent results from user studies and surveys identifying usability challenges in 2FA systems. The security of FPGAs is a crucial topic, as any vulnerability within the hardware can have severe consequences, if they are used in a secure design. We introduce three techniques, critical page whitelisting, cache squeezing, and oracle-based fuzzy matching algorithm to increase cache misses for memory accesses that are useful for the attack, with no detectable interference to the victim, and to convert memory accesses to sensitive data. In this work, we present Walking Onions, a set of protocols improving scalability for anonymity networks. To defend against our attacks, we have built a prototype for the SCO mode on Android 8 atop Android Open Source Project (AOSP). Abusers increasingly use spyware apps, account compromise, and social engineering to surveil their intimate partners, causing substantial harms that can culminate in violence. From these vulnerabilities, we create signatures for a large-scale analysis of 168,951 iOS apps, which shows that the use of certain third-party libraries listening for remote connections is a common source of vulnerable network services in 92 apps. Furthermore, the generated fuzzers leverage LibFuzzer to achieve better code coverage and expose bugs that reside deep in the library. These libraries are a frequent source of vulnerabilities. Dokyung Song, University of California, Irvine; Felicitas Hetzelt, Technische Universität Berlin; Jonghwan Kim and Brent Byunghoon Kang, KAIST; Jean-Pierre Seifert, Technische Universität Berlin; Michael Franz, University of California, Irvine. To help, we developed RLBox, a framework that minimizes the burden of converting Firefox to securely and efficiently use untrusted code. DECAF intelligently runs dynamic iterative surgery on UEFI firmware to remove a maximal amount of code with no regressive effects on the functionality and performance of higher layers in the stack (OS, applications). Small volume appear less of a malware classifier must be added to provide coercion resistance between! 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