Количество 4
Количество 4
CVE-2025-3044
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.
CVE-2025-3044
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.
GHSA-p7j4-jwjf-5x9w
LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
BDU:2025-09018
Уязвимость класса ArxivReader фреймворка для работы с большими языковыми моделями (LLM) LlamaIndex, позволяющая нарушителю оказать воздействие на целостность защищаемой информации
Уязвимостей на страницу
Уязвимость | CVSS | EPSS | Опубликовано | |
|---|---|---|---|---|
 | CVE-2025-3044 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. | CVSS3: 5.3 | 0% Низкий | около 1 месяца назад |
 | CVE-2025-3044 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. | CVSS3: 5.3 | 0% Низкий | около 1 месяца назад |
| GHSA-p7j4-jwjf-5x9w LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions | CVSS3: 5.3 | 0% Низкий | около 1 месяца назад |
 | BDU:2025-09018 Уязвимость класса ArxivReader фреймворка для работы с большими языковыми моделями (LLM) LlamaIndex, позволяющая нарушителю оказать воздействие на целостность защищаемой информации | CVSS3: 5.3 | 0% Низкий | около 1 месяца назад |
Уязвимостей на страницу