Demo Data from VLDB 2026 / reviewers in the wild / expert
Thijs Raymakers
dblp:441/0814
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—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.
| Network and information security
1 paper |
Hardware security and side channels · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Cloud and datacenter computing · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware security and side channels › microarchitectural attacks › transient execution attack
speculative execution attack |
1.0 | 1 | 2026 | Rain: Transiently Leaking Data from Public Clouds Using Old Vulnerabilities · SP 2026 |
Hardware security and side channels › microarchitectural attacks
transient execution attack |
1.0 | 1 | 2026 | Rain: Transiently Leaking Data from Public Clouds Using Old Vulnerabilities · SP 2026 |
Cloud and datacenter computing
cloud security |
0.3 | 1 | 2026 | Rain: Transiently Leaking Data from Public Clouds Using Old Vulnerabilities · SP 2026 |
Cloud and datacenter computing › cloud security
cross-VM attacks |
0.3 | 1 | 2026 | Rain: Transiently Leaking Data from Public Clouds Using Old Vulnerabilities · SP 2026 |
Methods — techniques the papers use, named apart from their topics
speculative out-of-bounds load · 2.0TLS key extraction · 2.0L1TF · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Rain: Transiently Leaking Data from Public Clouds Using Old VulnerabilitiesabstractGiven their vital importance for governments and enterprises around the world, we need to trust public clouds to provide strong security guarantees even in the face of advanced attacks and hardware vulnerabilities. While transient execution vulnerabilities, such as Spectre, have been in the spotlight since 2018, until now there have been no reports of realistic attacks on real-world clouds, leading to an assumption that such attacks are not practical in noisy real-world settings and without knowledge about the (host or guest) victim. In particular, given that today's clouds have large fleets of older CPUs that lack comprehensive, in-silicon fixes to a variety of transient execution vulnerabilities, the question arises whether sufficient software-based defenses have been deployed to stop realistic attacks---especially those using older, supposedly mitigated vulnerabilities. In this paper, we answer this question in the negative. We show that the practice of mitigating vulnerabilities in isolation, without removing the root cause, leaves systems vulnerable. By combining such mitigated'' (and by themselves harmless) vulnerabilities, attackers may still craft an end-to-end attack that is more than the sum of its parts. In particular, we show that attackers can use L1TF, one of the oldest known transient execution vulnerabilities (discovered in January 2018), in combination with a simple speculative out-of-bounds load, to leak data from other guests in a commercial cloud computing platform. Moreover, with an average end-to-end duration of 15 hours to leak the TLS key of an Nginx server in a victim VM under noisy conditions, without detailed knowledge of either host or guest, the attack is realistic even in one of today's biggest and most important commercial clouds. Mathé Hertogh, Dave Quakkelaar, Thijs Raymakers, Mahesh Hari Sarma, Marius Muench, Herbert Bos, Erik van der Kouwe |
SP | 3 |