Wissenschaftliche Artikel

Hageman, K., Feal, A., Gamba, J., Girish, A., Bleier, J., Lindorfer, M., Tapiador, J., & Vallina-Rodriguez, N. (2023). Mixed Signals: Analyzing Software Attribution Challenges in the Android Ecosystem. IEEE Transactions on Software Engineering, 49(4), 2964–2979. https://doi.org/10.34726/5296 ( reposiTUm)

Beiträge in Tagungsbänden

Davanian, A., Faloutsos, M., & Lindorfer, M. (2024). C2Miner: Tricking IoT Malware into Revealing Live Command & Control Servers. In ASIA CCS ’24: Proceedings of the 19th ACM Asia Conference on Computer and Communications Security (pp. 112–127). https://doi.org/10.1145/3634737.3644992 ( reposiTUm)
Saha, A., Blasco, J., Cavallaro, L., & Lindorfer, M. (2024). ADAPT it! Automating APT Campaign and Group Attribution by Leveraging and Linking Heterogeneous Files. In RAID ’24: Proceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses (pp. 114–129). Association for Computing Machinery. https://doi.org/10.1145/3678890.3678909 ( reposiTUm)
Steinböck, M., Bleier, J., Rainer, M., Urban, T., Utz, C., & Lindorfer, M. (2024). Comparing Apples to Androids: Discovery, Retrieval, and Matching of iOS and Android Apps for Cross-Platform Analyses. In MSR ’24: Proceedings of the 21st International Conference on Mining Software Repositories (pp. 348–360). https://doi.org/10.1145/3643991.3644896 ( reposiTUm)
Chen, T.-H., Tagliaro, C., Lindorfer, M., Borgolte, K., & van der Ham-de Vos, J. (2024). Are You Sure You Want To Do Coordinated Vulnerability Disclosure? In 2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) (pp. 307–314). https://doi.org/10.1109/EuroSPW61312.2024.00039 ( reposiTUm)
Beer, P., Squarcina, M., Veronese, L., & Lindorfer, M. (2024). Tabbed Out: Subverting the Android Custom Tab Security Model. In 2024 IEEE Symposium on Security and Privacy (SP) (pp. 4591–4609). https://doi.org/10.1109/SP54263.2024.00105 ( reposiTUm)
Tagliaro, C., Komsic, M., Continella, A., Borgolte, K., & Lindorfer, M. (2024). Large-Scale Security Analysis of Real-World Backend Deployments Speaking IoT-Focused Protocols. In RAID ’24: Proceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses (pp. 561–578). https://doi.org/10.1145/3678890.3678899 ( reposiTUm)
Bleier, J., & Lindorfer, M. (2023). Of Ahead Time: Evaluating Disassembly of Android Apps Compiled to Binary OATs Through the ART. In J. Polakis & E. van der Kouwe (Eds.), EUROSEC ’23: Proceedings of the 16th European Workshop on System Security (pp. 21–29). https://doi.org/10.1145/3578357.3591219 ( reposiTUm)
Jungwirth, G., Saha, A., Schröder, M., Fiebig, T., Lindorfer, M., & Cito, J. (2023). Connecting the .dotfiles: Checked-In Secret Exposure with Extra (Lateral Movement) Steps. In IEEE/ACM 20th International Conference on Mining Software Repositories (MSR) (pp. 322–333). https://doi.org/10.1109/MSR59073.2023.00051 ( reposiTUm)
Tagliaro, C., Hahn, F., Sepe, R., Aceti, A., & Lindorfer, M. (2023). Investigating HbbTV Privacy Invasiveness Across European Countries. In Learning from Authoritative Security Experiment Results (LASER) 2023. Workshop on Learning from Authoritative Security Experiment Results (LASER 2023), San Diego, United States of America (the). https://doi.org/10.14722/laser-ndss.2023.24102 ( reposiTUm)
Tagliaro, C., Hahn, F., Sepe, R., Aceti, A., & Lindorfer, M. (2023). I Still Know What You Watched Last Sunday: Privacy of the HbbTV Protocol in the European Smart TV Landscape. In Proceedings Network and Distributed System Security (NDSS) Symposium 2023. 30th Annual Network and Distributed System Security Symposium (NDSS) 2023, San Diego, United States of America (the). https://doi.org/10.14722/ndss.2023.24102 ( reposiTUm)
Pradeep, A., Feal, Á., Gamba, J., Rao, A., Lindorfer, M., Vallina-Rodriguez, N., & Choffnes, D. (2023). Not Your Average App: A Large-scale Privacy Analysis of Android Browsers. In M. L. Mazurek & M. Sherr (Eds.), Proceedings on Privacy Enhancing Technologies Symposium 2023 (pp. 29–46). https://doi.org/10.56553/popets-2023-0003 ( reposiTUm)
Schmidt, D., Tagliaro, C., Borgolte, K., & Lindorfer, M. (2023). IoTFlow: Inferring IoT Device Behavior at Scale through Static Mobile Companion App Analysis. In CCS ’23: Proceedings of the ACM SIGSAC Conference on Computer and Communications Security (pp. 681–695). Association for Computing Machinery. https://doi.org/10.1145/3576915.3623211 ( reposiTUm)
Fassl, M., Anell, S., Houy, S., Lindorfer, M., & Krombholz, K. (2022). Comparing User Perceptions of Anti-Stalkerware Apps with the Technical Reality. In Proceedings of the Eighteenth Symposium on Usable Privacy and Security (SOUPS 2022) (pp. 135–154). USENIX Association. https://doi.org/10.34726/3902 ( reposiTUm)
Pradeep, A., Paracha, M. T., Bhowmick, P., Davanian, A., Razaghpanah, A., Chung, T., Lindorfer, M., Vallina-Rodriguez, N., Levin, D., & Choffnes, D. (2022). A Comparative Analysis of Certificate Pinning in Android & iOS. In Proceedings of the 22nd ACM Internet Measurement Conference (pp. 605–618). ACM. https://doi.org/10.34726/3505 ( reposiTUm)
Holzbauer, F., Ullrich, J., Lindorfer, M., & Fiebig, T. (2022). Not that Simple: Email Delivery in the 21st Century. In Proceedings of the 2022 USENIX Annual Technical Conference (pp. 295–308). USENIX Association. https://doi.org/10.34726/4024 ( reposiTUm)
Al Alsadi, A. A., Sameshima, K., Bleier, J., Yoshioka, K., Lindorfer, M., van Eeten, M., & Hernández Gañán, C. (2022). No Spring Chicken: Quantifying the Lifespan of Exploits in IoT Malware Using Static and Dynamic Analysis. In Yuji Suga, Kouichi Sakurai, Xuhua Ding, & Kazue Sako (Eds.), ASIA CCS ’22: Proceedings of the 2022 ACM on Asia Conference on Computer and Communications Security (pp. 309–321). Association for Computing Machinery. https://doi.org/10.1145/3488932.3517408 ( reposiTUm)
Quarta, D., Ianni, M., Machiry, A., Fratantonio, Y., Gustafson, E., Balzarotti, D., Lindorfer, M., Vigna, G., & Kruegel, C. (2021). Tarnhelm: Isolated, Transparent & Confidential Execution of Arbitrary Code in ARM’s TrustZone. In Proceedings of the 2021 Research on offensive and defensive techniques in the Context of Man At The End (MATE) Attacks. ACM, Austria. ACM. https://doi.org/10.1145/3465413.3488571 ( reposiTUm)

Präsentationen

Bleier, J., & Lindorfer, M. (2022, May 23). ART-assisted App Diffing: Defeating Dalvik Bytecode Shrinking, Obfuscation, and Optimization with Android’s OAT Compiler [Poster Presentation]. 43rd IEEE Symposium on Security and Privacy, San Francisco, United States of America (the). ( reposiTUm)