EDBT 2026 Demo / reviewers in the wild / expert
Atul Sadhu
dblp:167/7838
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2
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
2 papers |
Web and mobile security · 64% Systems and software security · 21% Blockchain and cryptocurrency security · 16% | |
| Software engineering, system software, and programming languages
1 paper |
Software testing · 100% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Web and mobile security › web security
cross-site scripting |
0.4 | 2 | 2015 | DexterJS: robust testing platform for DOM-based XSS vulnerabilities · ESEC/SIGSOFT FSE 2015 Auto-patching DOM-based XSS at scale · ESEC/SIGSOFT FSE 2015 |
Web and mobile security › javascript security
DOM-based XSS |
0.4 | 2 | 2015 | DexterJS: robust testing platform for DOM-based XSS vulnerabilities · ESEC/SIGSOFT FSE 2015 Auto-patching DOM-based XSS at scale · ESEC/SIGSOFT FSE 2015 |
Systems and software security › vulnerability patching
automated patching |
0.2 | 1 | 2015 | Auto-patching DOM-based XSS at scale · ESEC/SIGSOFT FSE 2015 |
Blockchain and cryptocurrency security › smart contract security
vulnerability detection |
0.2 | 1 | 2015 | DexterJS: robust testing platform for DOM-based XSS vulnerabilities · ESEC/SIGSOFT FSE 2015 |
Systems and software security
vulnerability discovery |
0.1 | 1 | 2015 | Auto-patching DOM-based XSS at scale · ESEC/SIGSOFT FSE 2015 |
Software testing › non-functional testing
security testing |
0.1 | 1 | 2015 | DexterJS: robust testing platform for DOM-based XSS vulnerabilities · ESEC/SIGSOFT FSE 2015 |
Methods — techniques the papers use, named apart from their topics
taint analysis · 0.4source-to-source rewriting · 0.4program transformation · 0.2dynamic analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Auto-patching DOM-based XSS at scaleabstractDOM-based cross-site scripting (XSS) is a client-side code injection vulnerability that results from unsafe dynamic code generation in JavaScript applications, and has few known practical defenses. We study dynamic code evaluation practices on nearly a quarter million URLs crawled starting from the the Alexa Top 1000 websites. Of 777,082 cases of dynamic HTML/JS code generation we observe, 13.3% use unsafe string interpolation for dynamic code generation — a well-known dangerous coding practice. To remedy this, we propose a technique to generate secure patches that replace unsafe string interpolation with safer code that utilizes programmatic DOM construction techniques. Our system transparently auto-patches the vulnerable site while incurring only 5.2 − 8.07% overhead. The patching mechanism requires no access to server-side code or modification to browsers, and thus is practical as a turnkey defense. Inian Parameshwaran, Enrico Budianto, Shweta Shinde, Hung Dang, Atul Sadhu, Prateek Saxena |
ESEC/SIGSOFT FSE | 5 |
| 2015 | DexterJS: robust testing platform for DOM-based XSS vulnerabilitiesabstractDOM-based cross-site scripting (XSS) is a client-side vulnerability that pervades JavaScript applications on the web, and has few known practical defenses. In this paper, we introduce DEXTERJS, a testing platform for detecting and validating DOM-based XSS vulnerabilities on web applications. DEXTERJS leverages source-to source rewriting to carry out character-precise taint tracking when executing in the browser context—thus being able to identify vulnerable information flows in a web page. By scanning a web page, DEXTERJS produces working exploits that validate DOM-based XSS vulnerability on the page. DEXTERJS is robust, has been tested on Alexa’s top 1000 sites, and has found a total of 820 distinct zero-day DOM-XSS confirmed exploits automatically. Inian Parameshwaran, Enrico Budianto, Shweta Shinde, Hung Dang, Atul Sadhu, Prateek Saxena |
ESEC/SIGSOFT FSE | 5 |