CVE-2025-3044
MD5 Hash Collision in run-llama/llama_index
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.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- None
- User interaction
- None
What an attacker can affect
- Confidentiality
- None
- Integrity
- Low
- Availability
- None
Exploit likelihood
What each source reports
CVE List Score used
MD5 Hash Collision in run-llama/llama_index
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.
- Record
CVE-2025-3044- CVSS 3.0
- 5.3 Medium
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N - Weakness
- CWE-440
- Updated
- 2026-11-02
EUVDEUVD-2025-20218
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.
- Record
EUVD-2025-20218- CVSS 3.0
- 5.3 Medium
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N - Updated
- 2026-11-02
GitHub AdvisoriesGHSA-p7j4-jwjf-5x9w
LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
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).
- Record
GHSA-p7j4-jwjf-5x9w- CVSS 3.0
- 5.3 Medium
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N - Weakness
- CWE-440
- Updated
- 2026-11-02
NVD
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.
- Record
CVE-2025-3044- CVSS 3.0
- 5.3 Medium
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N - Weakness
- CWE-440
- Updated
- 2026-11-02
OSV
MD5 Hash Collision in run-llama/llama_index
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.
- Record
CVE-2025-3044- CVSS 3.0
- 5.3 Medium
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N - Weakness
- CWE-440
- Updated
- 2026-11-02
OSVGHSA-p7j4-jwjf-5x9w
LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
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).
- Record
GHSA-p7j4-jwjf-5x9w- CVSS 3.0
- 5.3 Medium
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N - Weakness
- CWE-440
- Updated
- 2026-11-02
OSVPYSEC-2025-247
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.
- Record
PYSEC-2025-247- CVSS 3.0
- 5.3 Medium
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N - Updated
- 2026-11-02
OSVPYSEC-2026-1569
LlamaIndex vulnerability in ArxivReader class can cause MD5 hash collisions
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).
- Record
PYSEC-2026-1569- CVSS 3.0
- 5.3 Medium
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N - Updated
- 2026-11-02
Affected products
Affected packages
| Package | Affected | Fixed |
|---|---|---|
llama-index-readers-papersPyPI |
before 0.3.1 | 0.3.1 |
llama-index-readers-papersPyPI |
before 0.3.1, plus listed versions 0.0.10.1.00.1.10.1.20.1.3 Show 5 moreShow less0.1.40.1.50.1.60.2.00.3.0 |
0.3.1 |
llama-indexPyPI |
before 0.12.28, plus listed versions 0.10.00.10.10.10.100.10.110.10.12 Show 45 moreShow less0.10.130.10.13.post10.10.140.10.150.10.160.10.170.10.180.10.190.10.200.10.220.10.230.10.240.10.250.10.260.10.270.10.280.10.290.10.30.10.300.10.310.10.320.10.330.10.340.10.350.10.360.10.370.10.380.10.390.10.40.10.400.10.410.10.420.10.430.10.440.10.450.10.45.post10.10.460.10.470.10.480.10.48.post10.10.490.10.50.10.500.10.510.10.52 |
0.12.28 |
History
| Recorded | Changed | Sources |
|---|---|---|
| first indexed | CVE List, EUVD, GitHub Advisories, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2025-3044 is a medium vulnerability (CVSS 5.3) in Llamaindex, published July 7, 2025. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.32%, the 25th percentile. Fixed in llama-index-readers-papers 0.3.1.
References
huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6
github.com/run-llama/llama_index/commit/0008041e8dde8e519621388e5d6f558bde6ef42e
nvd.nist.gov/vuln/detail/CVE-2025-3044
pypi.org/project/llama-index-readers-papers
Left out here: 399 versions. The JSON record has them.