Demo Data from EDBT 2026 / reviewers in the wild / expert
Vincenzo Sorcigli
dblp:408/0153
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% | |
| Network and information security
1 paper |
Network security · 100% | |
| Computer networks
1 paper |
Wireless networking · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Network security
wireless network security |
0.9 | 1 | 2025 | Saecred: A State-Aware, Over-the-Air Protocol Testing Approach for Discovering Parsing Bugs in SAE Handshake Implementations of COTS Wi-Fi Access Points · SP 2025 |
Software testing › fuzzing
black-box fuzzing |
0.9 | 1 | 2025 | Saecred: A State-Aware, Over-the-Air Protocol Testing Approach for Discovering Parsing Bugs in SAE Handshake Implementations of COTS Wi-Fi Access Points · SP 2025 |
Software testing
fuzzing |
0.9 | 1 | 2025 | Saecred: A State-Aware, Over-the-Air Protocol Testing Approach for Discovering Parsing Bugs in SAE Handshake Implementations of COTS Wi-Fi Access Points · SP 2025 |
Software testing › fuzzing
grammar-based fuzzing |
0.9 | 1 | 2025 | Saecred: A State-Aware, Over-the-Air Protocol Testing Approach for Discovering Parsing Bugs in SAE Handshake Implementations of COTS Wi-Fi Access Points · SP 2025 |
Wireless networking
WLAN |
0.3 | 1 | 2025 | Saecred: A State-Aware, Over-the-Air Protocol Testing Approach for Discovering Parsing Bugs in SAE Handshake Implementations of COTS Wi-Fi Access Points · SP 2025 |
Methods — techniques the papers use, named apart from their topics
syntax-guided synthesis · 2.6iterative deepening search · 2.6context-sensitive grammar · 2.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Saecred: A State-Aware, Over-the-Air Protocol Testing Approach for Discovering Parsing Bugs in SAE Handshake Implementations of COTS Wi-Fi Access PointsabstractWPA3-Personal introduced the stateful Simultane-ous Authentication of Equals (SAE) handshake protocol to achieve forward secrecy and resistance to passphrase guessing attacks during Wi-Fi connection bootstrapping, guarantees that are lacking in WPA2-Personal. However, the initial design of WPA3-Personal with SAE was susceptible to connection downgrade and denial-of-service (DoS) attacks. The current, enhanced version introduces mechanisms to mitigate these vulnerabilities. Enabling these security-enhancing mechanisms, however, results in a variable-structured, context-sensitive packet format that can be challenging to parse and interpret correctly. Misparsing SAE handshake packets can negatively impact Wi-Fi protocol security. To uncover SAE handshake packet misparsing in commercial-off-the-shelf (COTS) Wi-Fi access points (APs), we present Saecred,a packet-structure-guided, SAE-state-aware black-box fuzzer. Saecredreduces the underlying problem of misparsing discovery to a two-dimensional search problem, where the dimensions are the packet structure and the underlying SAE protocol state. It solves this search problem by combining Iterative Deepening Search (IDS) with a context-sensitive grammar-based fuzzing approach, where the latter relies on a Syntax-Guided Synthesis (SyGuS) solver. Saecred'seffectiveness is demonstrated by evaluating it on 6 COTS APs and the widely used open-source hostapd. Our evaluation discovered several instances of 4 classes of bugs. Bugs in two of these classes violate the two fundamental guarantees SAE expects to achieve (i.e., resistance to downgrade and DoS attacks). We reported our findings to the relevant stakeholders, which resulted in patches and security advisories. Muhammad Daniyal Pirwani Dar, Robert Lorch, Aliakbar Sadeghi, Vincenzo Sorcigli, Héloïse Gollier, Cesare Tinelli, Mathy Vanhoef, Omar Chowdhury |
SP | 4 |