Algorithmic Sabotage Research Group %28asrg%29 !!install!! Link

Beyond these tools, the ASRG has also pioneered the development of for static website deployments. The group has published a methodically structured poisoning mechanism for GitHub Pages called “Trapping AI.” This technique feeds nonsensical data to aggressive AI scrapers that circumvent robots.txt directives. In just under a month of deployment, over 26 million requests hit their tarpit URLs, with vast volumes of meaningless content devoured by AI crawlers.

A large-scale job matching platform was found to be "soft-sabotaging" applicants from certain zip codes. The algorithm would accept their resumes, process them, and then silently drop them into a null queue without generating a rejection letter or forwarding them to human reviewers. The ASRG’s analysis showed that the sabotage was introduced via a purposely mislabeled variable in a sorting function—named temp_sort_key but actually coded as priority_blacklist . algorithmic sabotage research group %28asrg%29

The is a multidisciplinary collective of computer scientists, forensic analysts, legal scholars, and ethical hackers dedicated to the study of intentional algorithmic failure. The group’s primary focus is not on accidental bugs or natural bias, but on deliberate sabotage —the intentional manipulation of code and logic flows to produce specific, harmful outcomes. Beyond these tools, the ASRG has also pioneered