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Medium · 5.3 CVE-2025-3044 EUVD-2025-20218GHSA-p7j4-jwjf-5x9wPYSEC-2025-247PYSEC-2026-1569

MD5 Hash Collision in run-llama/llama_index

Published Jul 7, 2025 · Updated Jul 7, 2025 · Assigned by @huntr_ai

Description

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.

Affected products

VendorProductAffectedFixed
run-llama run-llama/llama_index unspecified – < 0.12.28 0.12.28

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI llama-index < 0.12.28 0.12.28 PYSEC-2025-247
PyPI llama-index-readers-papers < 0.3.1 0.3.1 GHSA-p7j4-jwjf-5x9w

References