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bind:CVE-2025-3044
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bind:CVE-2025-3044

Количество 4

Количество 4

redhat логотип

CVE-2025-3044

6 месяцев назад

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
EPSS: Низкий
nvd логотип

CVE-2025-3044

6 месяцев назад

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
EPSS: Низкий
github логотип

GHSA-p7j4-jwjf-5x9w

6 месяцев назад

LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions

CVSS3: 5.3
EPSS: Низкий
fstec логотип

BDU:2025-09018

6 месяцев назад

Уязвимость класса ArxivReader фреймворка для работы с большими языковыми моделями (LLM) LlamaIndex, позволяющая нарушителю оказать воздействие на целостность защищаемой информации

CVSS3: 5.3
EPSS: Низкий

Уязвимостей на страницу

Уязвимость
CVSS
EPSS
Опубликовано
redhat логотип
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
6 месяцев назад
nvd логотип
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
6 месяцев назад
github логотип
GHSA-p7j4-jwjf-5x9w

LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions

CVSS3: 5.3
0%
Низкий
6 месяцев назад
fstec логотип
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
6 месяцев назад

Уязвимостей на страницу