Most recent entries from all https://cve.radiocsirt.org Contains only the most 10 recent entries. http://www.rssboard.org/rss-specification python-feedgen en Tue, 06 Oct 2026 15:37:02 +0000 CVE-2025-3044 — MD5 Hash Collision in run-llama/llama_index https://cve.radiocsirt.org/vuln/cve-2025-3044 <p><strong>Affected:</strong> run-llama/llama_index</p> <p>A vulnerability in the ArxivReader class of the run-llama/llama_index repository, versions up to v0.12.22.post1, allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but different contents may overwrite each other, preventing some papers from being processed for AI model training. The issue is resolved in version 0.12.28.</p> <p><strong>Affected:</strong> run-llama/llama_index</p> <p>A vulnerability in the ArxivReader class of the run-llama/llama_index repository, versions up to v0.12.22.post1, allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but different contents may overwrite each other, preventing some papers from being processed for AI model training. The issue is resolved in version 0.12.28.</p> https://cve.radiocsirt.org/vuln/cve-2025-3044 GHSA-p7j4-jwjf-5x9w — LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions https://cve.radiocsirt.org/vuln/ghsa-p7j4-jwjf-5x9w <p><strong>Affected:</strong> PyPI: llama-index-readers-papers</p> <p>A vulnerability in the ArxivReader class of the run-llama/llama_index repository allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but different contents may overwrite each other, preventing some papers from being processed for AI model training. The issue is resolved in llama-index-readers-papers version 0.3.1 (in llama-index 0.12.28).</p> <p><strong>Affected:</strong> PyPI: llama-index-readers-papers</p> <p>A vulnerability in the ArxivReader class of the run-llama/llama_index repository allows for MD5 hash collisions when generating filenames for downloaded papers. This can lead to data loss as papers with identical titles but different contents may overwrite each other, preventing some papers from being processed for AI model training. The issue is resolved in llama-index-readers-papers version 0.3.1 (in llama-index 0.12.28).</p> https://cve.radiocsirt.org/vuln/ghsa-p7j4-jwjf-5x9w