T-Reqs: HTTP Request Smuggling with Differential Fuzzing
Bahruz Jabiyev, Steven Sprecher, Kaan Onarlioglu, Engin Kirda
Abstract
HTTP Request Smuggling (HRS) is an attack that exploits the HTTP processing discrepancies between two servers deployed in a proxy-origin configuration, allowing attackers to smuggle hidden requests through the proxy. While this idea is not new, HRS is soaring in popularity due to recently revealed novel exploitation techniques and real-life abuse scenarios. In this work, we step back from the highly-specific exploits hogging the spotlight, and present the first work that systematically explores HRS within a scientific framework. We design an experiment infrastructure powered by a novel grammar-based differential fuzzer, test 10 popular server/proxy/CDN technologies in combinations, identify pairs that result in processing discrepancies, and discover exploits that lead to HRS. Our experiment reveals previously unknown ways to manipulate HTTP requests for exploitation, and for the first time documents the server pairs prone to HRS.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext fca39af5-80d2-4197-90c1-346305cb233bCited by top-tier papers19
- Where Are the Red Lines? Towards Ethical Server-Side Scans in Security and Privacy ResearchFlorian Hantke, Sebastian Roth, Rafael Mrowczynski, Christine Utz et al.S&P 2024 · 17 citations
- ResolverFuzz: Automated Discovery of DNS Resolver Vulnerabilities with Query-Response FuzzingQifan Zhang, Xuesong Bai, Xiang Li, Haixin Duan et al.USENIX Security 2024 · 13 citations
- Break the Wall from Bottom: Automated Discovery of Protocol-Level Evasion Vulnerabilities in Web Application FirewallsQi Wang, Jianjun Chen, Zheyu Jiang, Run Guo et al.S&P 2024 · 11 citations
- Parse Me, Baby, One More Time: Bypassing HTML Sanitizer via Parsing DifferentialsDavid Klein, Martin JohnsS&P 2024 · 7 citations
- CDN Cannon: Exploiting CDN Back-to-Origin Strategies for Amplification AttacksZiyu Lin, Zhiwei Lin, Ximeng Liu, Jianjun Chen et al.USENIX Security 2024 · 5 citations
Builds on5
- NAUTILUS: Fishing for Deep Bugs with GrammarsCornelius Aschermann, Tommaso Frassetto, Thorsten Holz, Patrick Jauernig et al.NDSS 2019 · 291 citations
- Host of Troubles: Multiple Host Ambiguities in HTTP ImplementationsJianjun Chen, Jian Jiang, Hai-Xin Duan, Nicholas Weaver et al.CCS 2016 · 49 citations
- Your Cache Has Fallen: Cache-Poisoned Denial-of-Service AttackHoai Viet Nguyen, Luigi Lo Iacono, Hannes FederrathCCS 2019 · 41 citations
- Web Cache Deception Escalates!Seyed Ali Mirheidari, Matteo Golinelli, Kaan Onarlioglu, Engin Kirda et al.USENIX Security 2022
- Cached and Confused: Web Cache Deception in the WildSeyed Ali Mirheidari, Sajjad Arshad, Kaan Onarlioglu, Bruno Crispo et al.USENIX Security 2020
Related papers
- FRAMESHIFTER: Security Implications of HTTP/2-to-HTTP/1 Conversion AnomaliesBahruz Jabiyev, Steven Sprecher, Anthony Gavazzi, Tommaso Innocenti et al.USENIX Security 2022
- The Silent Danger in HTTP: Identifying HTTP Desync Vulnerabilities with Gray-box TestingKeran Mu, Jianjun Chen, Jianwei Zhuge, Qi Li et al.USENIX Security 2025
- H3Act: Automated Measuring Semantic Conversion Anomalies of HTTP/3-to-HTTP/1.1 Translation in CDNsQihang Peng, Siyuan Tian, Yongxin Qiu, Jinyang Huang et al.USENIX Security 2026
- ReqsMiner: Automated Discovery of CDN Forwarding Request Inconsistencies and DoS Attacks with Grammar-based FuzzingLinkai Zheng, Xiang Li, Chuhan Wang, Run Guo et al.NDSS 2024
- CDN Judo: Breaking the CDN DoS Protection with ItselfRun Guo, Weizhong Li, Baojun Liu, Shuang Hao et al.NDSS 2020
