The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Firmalice - Automatic Detection of Authentication Bypass Vulnerabilities in Binary Firmware
Abstract
Author(s): Yan Shoshitaishvili, Ruoyu Wang, Christophe Hauser, Christopher Kruegel, Giovanni Vigna Download: Paper (PDF) Date: 7 Feb 2015 Document Type: Briefing Papers Additional Documents: Slides Associated Event: NDSS Symposium 2015 Abstract: Embedded devices have become ubiquitous, and they are used in a range of privacy-sensitive and security-critical applications. Most of these devices run proprietary software, … Continued
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
de Moura, L., & Bjørner, N. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-78800-3_24 · Cited by 6,595
Cited by
A survey of symbolic execution techniques
Baldoni, R., Coppa, E., D’elia, D. C., Demetrescu, C., & Finocchi, I. (2019) · ACM Computing Surveys · doi:10.1145/3182657 · Cited by 708
Botnets and Internet of Things Security
Bertino, E., & Islam, N. (2017) · Computer · doi:10.1109/mc.2017.62 · Cited by 678
Detecting Vulnerability on IoT Device Firmware: A Survey
Feng, X., Zhu, X., Han, Q.-L., Zhou, W., Wen, S., & Xiang, Y. (2023) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2022.105860 · Cited by 185
Understanding Security Risks of Embedded Devices Through Fine-Grained Firmware Fingerprinting
Li, Q., Tan, D., Ge, X., Wang, H., Li, Z., & Liu, J. (2022) · IEEE Transactions on Dependable and Secure Computing · doi:10.1109/tdsc.2021.3119970 · Cited by 17
Metadata
- Authors
- Shoshitaishvili, Y., Wang, R., Hauser, C., Kruegel, C., & Vigna, G.
- Venue
- Proceedings 2015 Network and Distributed System Security Symposium
- Publisher
- Internet Society
- Published
- 2015
- OpenAlex
- W2091939272
- Cited by
- 362
- References
- 1
- FWCI
- 17.42
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Firmalice - Automatic Detection of Authentication Bypass Vulnerabilities in Binary Firmware. https://app.cochat.ai/papers/10.14722/ndss.2015.23294
- The paper
- Shoshitaishvili, Y., Wang, R., Hauser, C., Kruegel, C., & Vigna, G. (2015). Firmalice - Automatic Detection of Authentication Bypass Vulnerabilities in Binary Firmware. Proceedings 2015 Network and Distributed System Security Symposium. https://doi.org/10.14722/ndss.2015.23294
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.