CVE-2025-3044 MD5 Hash Collision in run-llama/llama_index

Medium 5.3 Published Updated

Attackers can cause data loss by exploiting MD5 hash collisions in ArxivReader, leading to overwritten files during paper downloads.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Over the internet
Victim action needed
Not needed
Fix
Available

What is CVE-2025-3044?

CVE-2025-3044 is a medium-severity vulnerability in run-llama/llama_index, published on 7 Jul 2025. An attacker can exploit it over the internet without logging in, with no action from the victim.

Official 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.

Weakness: CWE-440

Which versions are affected by CVE-2025-3044?

4 open source packages ship an affected version, including llama-index-readers-papers and llama-index. It affects 1 product.

PackageAffectedFixed in
llama-index-readers-papers PyPIAll versions0.3.1
llama-index-readers-papers PyPIAll versions0.3.1
llama-index-readers-papers PyPIAll versions0.3.1
llama-index PyPIAll versions0.12.28

Products include Llamaindex Llamaindex.

How do I fix CVE-2025-3044?

Upgrade llama-index-readers-papers to 0.3.1 or later.

Is CVE-2025-3044 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2025-3044 exists.

Sources

Also known as GHSA-p7j4-jwjf-5x9w, PYSEC-2025-247, PYSEC-2026-1569.

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