Computer Science
3 years ago

New automated tool detects hidden vulnerabilities in WebAPIs, enhancing cybersecurity.

1 view
2022 24th International Conference on Advanced Communication Technology (ICACT)
An Automated Vulnerability Assessment Approach for WebAPI that Considers Requests and Responses
Toru Taya, Masaki Hanada, Yoichi Murakami, Atsushi Waseda, Yuki Ishida, Takao Mimura, Moo Wan Kim, Eiji Nunohiro

Paper Summary

WebAPIs are increasingly used for web services, but they are vulnerable to attacks. Existing guidelines lack detailed methods to detect and counter these vulnerabilities. A new automated approach has been developed to assess WebAPI vulnerabilities by analyzing requests and responses. This method can identify vulnerabilities that current tools may miss, improving overall security for WebAPIs.

Related papers

Theme background image
Computer Science
8 years ago

New study reveals how cyber attacks evolve, changing security landscape.

Security Compliance
Malware Detection
Software Reliability
Theme background image
Computer Science
a year ago

Automated exploit solution urgently needed to combat increasing network vulnerabilities.

Malware Detection
Information Flow Security
Software Testing
Theme background image
Computer Science
3 years ago

Machine learning vulnerabilities pose new threats to cybersecurity defenses.

Adversarial Robustness
Security Compliance