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Vulnerability Details :

CVE-2025-3044

Summary
Assigner-@huntr_ai
Assigner Org ID-c09c270a-b464-47c1-9133-acb35b22c19a
Published At-07 Jul, 2025 | 09:54
Updated At-07 Jul, 2025 | 15:23
Rejected At-
Credits

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.

Vendors
-
Not available
Products
-
Metrics (CVSS)
VersionBase scoreBase severityVector
Weaknesses
Attack Patterns
Solution/Workaround
References
HyperlinkResource Type
EPSS History
Score
Latest Score
-
N/A
No data available for selected date range
Percentile
Latest Percentile
-
N/A
No data available for selected date range
Stakeholder-Specific Vulnerability Categorization (SSVC)
▼Common Vulnerabilities and Exposures (CVE)
cve.org
Assigner:@huntr_ai
Assigner Org ID:c09c270a-b464-47c1-9133-acb35b22c19a
Published At:07 Jul, 2025 | 09:54
Updated At:07 Jul, 2025 | 15:23
Rejected At:
▼CVE Numbering Authority (CNA)
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.

Affected Products
Vendor
run-llama
Product
run-llama/llama_index
Versions
Affected
  • From unspecified before 0.12.28 (custom)
Problem Types
TypeCWE IDDescription
CWECWE-440CWE-440 Expected Behavior Violation
Type: CWE
CWE ID: CWE-440
Description: CWE-440 Expected Behavior Violation
Metrics
VersionBase scoreBase severityVector
3.05.3MEDIUM
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
Version: 3.0
Base score: 5.3
Base severity: MEDIUM
Vector:
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
Metrics Other Info
Impacts
CAPEC IDDescription
Solutions

Configurations

Workarounds

Exploits

Credits

Timeline
EventDate
Replaced By

Rejected Reason

References
HyperlinkResource
https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6
N/A
https://github.com/run-llama/llama_index/commit/0008041e8dde8e519621388e5d6f558bde6ef42e
N/A
Hyperlink: https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6
Resource: N/A
Hyperlink: https://github.com/run-llama/llama_index/commit/0008041e8dde8e519621388e5d6f558bde6ef42e
Resource: N/A
▼Authorized Data Publishers (ADP)
CISA ADP Vulnrichment
Affected Products
Metrics
VersionBase scoreBase severityVector
Metrics Other Info
Impacts
CAPEC IDDescription
Solutions

Configurations

Workarounds

Exploits

Credits

Timeline
EventDate
Replaced By

Rejected Reason

References
HyperlinkResource
https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6
exploit
Hyperlink: https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6
Resource:
exploit
Information is not available yet
▼National Vulnerability Database (NVD)
nvd.nist.gov
Source:security@huntr.dev
Published At:07 Jul, 2025 | 10:15
Updated At:30 Jul, 2025 | 21:28

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.

CISA Catalog
Date AddedDue DateVulnerability NameRequired Action
N/A
Date Added: N/A
Due Date: N/A
Vulnerability Name: N/A
Required Action: N/A
Metrics
TypeVersionBase scoreBase severityVector
Secondary3.05.3MEDIUM
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
Type: Secondary
Version: 3.0
Base score: 5.3
Base severity: MEDIUM
Vector:
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N
CPE Matches

llamaindex
llamaindex
>>llamaindex>>Versions before 0.12.28(exclusive)
cpe:2.3:a:llamaindex:llamaindex:*:*:*:*:*:*:*:*
Weaknesses
CWE IDTypeSource
CWE-440Secondarysecurity@huntr.dev
CWE ID: CWE-440
Type: Secondary
Source: security@huntr.dev
Evaluator Description

Evaluator Impact

Evaluator Solution

Vendor Statements

References
HyperlinkSourceResource
https://github.com/run-llama/llama_index/commit/0008041e8dde8e519621388e5d6f558bde6ef42esecurity@huntr.dev
Patch
https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6security@huntr.dev
Exploit
Third Party Advisory
https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6134c704f-9b21-4f2e-91b3-4a467353bcc0
Exploit
Third Party Advisory
Hyperlink: https://github.com/run-llama/llama_index/commit/0008041e8dde8e519621388e5d6f558bde6ef42e
Source: security@huntr.dev
Resource:
Patch
Hyperlink: https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6
Source: security@huntr.dev
Resource:
Exploit
Third Party Advisory
Hyperlink: https://huntr.com/bounties/80182c3a-876f-422f-8bac-38267e0345d6
Source: 134c704f-9b21-4f2e-91b3-4a467353bcc0
Resource:
Exploit
Third Party Advisory

Change History

0
Information is not available yet

Similar CVEs

1Records found

CVE-2025-6211
Matching Score-6
Assigner-Protect AI (formerly huntr.dev)
ShareView Details
Matching Score-6
Assigner-Protect AI (formerly huntr.dev)
CVSS Score-6.5||MEDIUM
EPSS-0.07% / 20.80%
||
7 Day CHG+0.02%
Published-10 Jul, 2025 | 13:04
Updated-30 Jul, 2025 | 20:00
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
MD5 Hash Collision in run-llama/llama_index

A vulnerability in the DocugamiReader class of the run-llama/llama_index repository, up to version 0.12.28, involves the use of MD5 hashing to generate IDs for document chunks. This approach leads to hash collisions when structurally distinct chunks contain identical text, resulting in one chunk overwriting another. This can cause loss of semantically or legally important document content, breakage of parent-child chunk hierarchies, and inaccurate or hallucinated responses in AI outputs. The issue is resolved in version 0.3.1.

Action-Not Available
Vendor-llamaindexrun-llama
Product-llamaindexrun-llama/llama_index
CWE ID-CWE-440
Expected Behavior Violation
Details not found