CVE-2026-105747: Docling Memory Exhaustion Vulnerability Due to METS-GBS Archive Member Limit
Summary
CVE-2026-105747: When docling detects the input format of a gzip-compressed tar archive (METS-GBS), and later when the METS-GBS backend opens it, it calls tarfile.TarFile.getmembers(). Affects docling versions >= 2.45.0, < 2.131.0. Fixed in 2.131.0. How to fix ↓
Also tracked for
- docling-slim · PyPI
The same CVE-2026-105747 is tracked separately for each ecosystem and vendor. Its fix information is the same; the package and affected versions differ.
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Background
Docling is an open-source tool designed for document conversion and management, particularly focusing on various archive formats. It allows users to convert documents into different formats while ensuring data integrity and accessibility. However, it has a vulnerability that can lead to memory exhaustion when processing gzip-compressed tar archives, specifically those formatted as METS-GBS.
Vulnerability Detail
The vulnerability arises during the format detection phase when Docling processes gzip-compressed tar archives. When the METS-GBS backend opens an archive, it calls the method tarfile.TarFile.getmembers(), which enumerates all members of the archive in memory before checking the max_member_count limit. This means that even small archives with a large number of empty members can lead to significant memory allocation, causing the application to exhaust available memory. This issue was introduced in version 2.45.0 and was exacerbated by a fix for a previous vulnerability (CVE-2026-44018) in version 2.91.0. The vulnerability can lead to memory exhaustion during the conversion process, although it does not affect the confidentiality or integrity of the data.
How To Fix
Latest published version: 2.142.0 as of 22 Oct 2026
pip install --upgrade "docling==2.142.0"Upgrading to it may include breaking changes; the version below is the minimum fixed release for this vulnerability.
If you need the minimum change
2.131.0
This is the first release that contains the fix.
pip install --upgrade "docling==2.131.0"Tip — Not sure which version your app runs? Vulert can match this fix to it. Scan free →
Workaround
If upgrading is not immediately possible, users can implement a workaround by rejecting gzip or tar inputs before they reach Docling when METS-GBS support is not required. Additionally, it is advisable to run conversions of untrusted input with memory limits to prevent memory exhaustion.
Conclusion
In summary, CVE-2026-105747 is a memory exhaustion vulnerability in Docling that arises during the processing of METS-GBS formatted gzip-compressed tar archives. Users are advised to upgrade to version 2.131.0 or implement workarounds to mitigate the risk of memory exhaustion.
See every vulnerability recorded for docling →
FAQ
The CVSS score of this vulnerability is 4.3, indicating a moderate severity level.
Docling versions from 2.45.0 to 2.130.0 are affected by this vulnerability.
You can use Vulert's playground at Vulert Scanner to check if your application is affected by this vulnerability without requiring any signup.
If you cannot upgrade, consider implementing workarounds such as rejecting gzip or tar inputs when METS-GBS support is not needed and running conversions with memory limits.
No, this vulnerability does not affect the confidentiality or integrity of the data; it only poses a risk of memory exhaustion.
References
Related vulnerabilities
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