William Findlay (Carleton University) and AbdelRahman Abdou (Carleton University)

While security researchers are adept at discovering vulnerabilities and measuring their impact, disclosing vulnerabilities to affected stakeholders has traditionally been difficult. Beyond public notices such as CVEs, there have traditionally been few appropriate channels through which to directly communicate the nature and scope of a vulnerability to those directly impacted by it. Security.txt is a relatively new proposed standard that hopes to change this by defining a canonical file format and URI through which organizations can provide contact information for vulnerability disclosure. However, despite its favourable characteristics, limited studies have systematically analyzed how effective Security.txt might be for a widespread vulnerability notification campaign. In this paper, we present a large-scale study of Security.txt’s adoption over the top 1M popular domains according to the Tranco list. We measure specific features of Security.txt files such as contact information, preferred language, and RFC version compliance. We then analyze these results to better understand how suitable the current Security.txt standard is for facilitating a large-scale vulnerability notification campaign, and make recommendations for improving future version of the standard.

View More Papers

A Study on Security and Privacy Practices in Danish...

Asmita Dalela (IT University of Copenhagen), Saverio Giallorenzo (Department of Computer Science and Engineering - University of Bologna), Oksana Kulyk (ITU Copenhagen), Jacopo Mauro (University of Southern Denmark), Elda Paja (IT University of Copenhagen)

Read More

Clarion: Anonymous Communication from Multiparty Shuffling Protocols

Saba Eskandarian (University of North Carolina at Chapel Hill), Dan Boneh (Stanford University)

Read More

Work-in-Progress: Detecting Browser-in-the-Browser Attacks from Their Behaviors and DOM...

Ryusei Ishikawa, Soramichi Akiyama, and Tetsutaro Uehara (Ritsumeikan University)

Read More

Fine-Grained Coverage-Based Fuzzing

Bernard Nongpoh (Université Paris Saclay), Marwan Nour (Université Paris Saclay), Michaël Marcozzi (Université Paris Saclay), Sébastien Bardin (Université Paris Saclay)

Read More