The Hidden Dangers of Prototype Pollution: A Comprehensive Detection Framework

This research explores techniques for identifying prototype pollution vulnerabilities by sending requests that trigger slight changes in server responses, proving the effectiveness of this detection method.Prototype pollution is a significant cybersecurity issue and flaw that arises when an attacker manipulates JavaScript's prototype inheritance to alter an object's prototype.Detecting this vulnerability on the server side in a black-box setting is challenging and can unintentionally cause denial-of-service incidents.Such alterations may allow attackers to tamper with a "gadget" property, which could later be exploited in a vulnerable function.This study confirms the possibility of safely detecting prototype pollution in a black-box environment by observing subtle shifts in server behavior.Multiple approaches are used to automate the discovery of these vulnerabilities.[29,11

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Publication Details

Published
2025-05-18
DOI
https://doi.org/10.63169/gcared2025.p36
Primary Topic
Recycling and Waste Management Techniques
Type
article
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article

The Hidden Dangers of Prototype Pollution: A Comprehensive Detection Framework

M Verma, Abhishek Singh, Sumit Sharma
Recycling and Waste Management Techniques
article

The Hidden Dangers of Prototype Pollution: A Comprehensive Detection Framework

M Verma, Abhishek Singh, Sumit Sharma
article en

Abstract

This research explores techniques for identifying prototype pollution vulnerabilities by sending requests that trigger slight changes in server responses, proving the effectiveness of this detection method.Prototype pollution is a significant cybersecurity issue and flaw that arises when an attacker manipulates JavaScript's prototype inheritance to alter an object's prototype.Detecting this vulnerability on the server side in a black-box setting is challenging and can unintentionally cause denial-of-service incidents.Such alterations may allow attackers to tamper with a "gadget" property, which could later be exploited in a vulnerable function.This study confirms the possibility of safely detecting prototype pollution in a black-box environment by observing subtle shifts in server behavior.Multiple approaches are used to automate the discovery of these vulnerabilities.[29,11

The NorthCap University (IN), Jaypee Institute of Information Technology (IN), Institute of Cytology and Preventive Oncology (IN)
Climate action
Openalex Percentile: Top 84%
Recycling and Waste Management Techniques
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