VLDB 2026 Research / reviewers in the wild / expert
Hany Ragab
dblp:171/1877
· DBLP profile ↗
5ranked-venue papers
3as first author
4since 2021 · last 2025
0000-0003-2645-7423ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 5 · 3 first-author · 4 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Phantom Trails: Practical Pre-Silicon Discovery of Transient Data Leaks
Alvise de Faveri Tron, Raphael Isemann, Hany Ragab, Cristiano Giuffrida, Klaus von Gleissenthall, Herbert Bos |
USENIX Security Symposium | 3 |
| 2024 | GhostRace: Exploiting and Mitigating Speculative Race Conditions
Hany Ragab, Andrea Mambretti, Anil Kurmus, Cristiano Giuffrida |
USENIX Security Symposium | 1 |
| 2021 | CrossTalk: Speculative Data Leaks Across Cores Are RealabstractRecent transient execution attacks have demonstrated that attackers may leak sensitive information across security boundaries on a shared CPU core. Up until now, it seemed possible to prevent this by isolating potential victims and attackers on separate cores. In this paper, we show that the situation is more serious, as transient execution attacks can leak data across different cores on many modern Intel CPUs.We do so by investigating the behavior of x86 instructions, and in particular, we focus on complex microcoded instructions which perform offcore requests. Combined with transient execution vulnerabilities such as Micro-architectural Data Sampling (MDS), these operations can reveal internal CPU state. Using performance counters, we build a profiler, CROSSTALK, to examine the number and nature of such operations for many x86 instructions, and find that some instructions read data from a staging buffer which is shared between all CPU cores.To demonstrate the security impact of this behavior, we present the first cross-core attack using transient execution, showing that even the seemingly-innocuous CPUID instruction can be used by attackers to sample the entire staging buffer containing sensitive data – most importantly, output from the hardware random number generator (RNG) – across cores. We show that this can be exploited in practice to attack SGX enclaves running on a completely different core, where an attacker can control leakage using practical performance degradation attacks, and demonstrate that we can successfully determine enclave private keys. Since existing mitigations which rely on spatial or temporal partitioning are largely ineffective to prevent our proposed attack, we also discuss potential new mitigation techniques. Hany Ragab, Alyssa Milburn, Kaveh Razavi, Herbert Bos, Cristiano Giuffrida |
SP | 1 |
| 2021 | Rage Against the Machine Clear: A Systematic Analysis of Machine Clears and Their Implications for Transient Execution Attacks
Hany Ragab, Enrico Barberis, Herbert Bos, Cristiano Giuffrida |
USENIX Security Symposium | 1 |
| 2015 | On the Weaknesses of PBKDF2
Andrea Visconti, Simone Bossi, Hany Ragab, Alexandro Calò |
CANS | 3 |