docling-project docling up to 2.90.x METS-GBS Backend data amplification
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in docling-project docling up to 2.90.x and classified as problematic. This affects an unknown function of the component METS-GBS Backend. The manipulation leads to data amplification. This vulnerability is referenced as CVE-2026-44018. The attack can only be performed from a local environment. No exploit is available. The affected component should be upgraded.
Details
A vulnerability, which was classified as problematic, has been found in docling-project docling up to 2.90.x. This issue affects an unknown part of the component METS-GBS Backend. The manipulation with an unknown input leads to a data amplification vulnerability. Using CWE to declare the problem leads to CWE-409. The product does not handle or incorrectly handles a compressed input with a very high compression ratio that produces a large output. Impacted is availability. The summary by CVE is:
Docling simplifies document processing by parsing diverse formats and providing integrations with the generative AI ecosystem. From 2.45.0 until 2.91.0, the METS-GBS backend's XML parsing and the input document format detection lacked security controls. An attacker could craft malicious METS-GBS archives that, when processed, could read sensitive files, exhaust system resources, or cause application crashes. This vulnerability is fixed in 2.91.0.
It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-44018 since 05/04/2026. The exploitation is known to be easy. Attacking locally is a requirement. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available.
Upgrading to version 2.91.0 eliminates this vulnerability. The upgrade is hosted for download at github.com.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
- 2.0
- 2.1
- 2.2
- 2.3
- 2.4
- 2.5
- 2.6
- 2.7
- 2.8
- 2.9
- 2.10
- 2.11
- 2.12
- 2.13
- 2.14
- 2.15
- 2.16
- 2.17
- 2.18
- 2.19
- 2.20
- 2.21
- 2.22
- 2.23
- 2.24
- 2.25
- 2.26
- 2.27
- 2.28
- 2.29
- 2.30
- 2.31
- 2.32
- 2.33
- 2.34
- 2.35
- 2.36
- 2.37
- 2.38
- 2.39
- 2.40
- 2.41
- 2.42
- 2.43
- 2.44
- 2.45
- 2.46
- 2.47
- 2.48
- 2.49
- 2.50
- 2.51
- 2.52
- 2.53
- 2.54
- 2.55
- 2.56
- 2.57
- 2.58
- 2.59
- 2.60
- 2.61
- 2.62
- 2.63
- 2.64
- 2.65
- 2.66
- 2.67
- 2.68
- 2.69
- 2.70
- 2.71
- 2.72
- 2.73
- 2.74
- 2.75
- 2.76
- 2.77
- 2.78
- 2.79
- 2.80
- 2.81
- 2.82
- 2.83
- 2.84
- 2.85
- 2.86
- 2.87
- 2.88
- 2.89
- 2.90
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 4.1VulDB Meta Temp Score: 4.1
VulDB Base Score: 2.8
VulDB Temp Score: 2.7
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 5.5
CNA Vector (GitHub_M): 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Data amplificationCWE: CWE-409 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: Partially
Local: Yes
Remote: Partially
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: docling 2.91.0
Timeline
05/04/2026 CVE reserved06/26/2026 Advisory disclosed
06/26/2026 VulDB entry created
06/26/2026 VulDB entry last update
Sources
Product: github.comAdvisory: GHSA-r3xg-rg9j-67fv
Status: Confirmed
CVE: CVE-2026-44018 (🔒)
GCVE (CVE): GCVE-0-2026-44018
GCVE (VulDB): GCVE-100-374195
Entry
Created: 06/26/2026 18:35Changes: 06/26/2026 18:35 (66)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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