Addressing build failures is important in software development, particularly within Continuous Integration and Deployment (CI/CD) pipelines. A common issue arises when a developer encounters a new build failure that has occurred in the past. We refer to such build failures as near-duplicate build failures. We collect build logs from a GitHub Actions CI/CD pipeline. We label near-duplicate build failures by identifying those that have the same failed tests. We propose a framework for detecting near-duplicate build failures through log similarity analysis. As the majority of log lines in failed builds are similar to passing logs, we propose using an Out-of-Vocabulary Detector (OOVD) filtering to identify only failure-relevant lines and to improve near-duplicate detection accuracy. Our results suggest a noticeable improvement using OOVD filtering across all metrics for Top-𝐾 results (𝐾 = 5, precision@K: 0.864 vs. 0.526 and MAP@K: 0.941 vs. 0.814). Finding near-duplicate build failures can be an important software engineering challenge that to our best knowledge has not been studied in the past. Upon acceptance of the paper we will make the scripts and the data available.