Eclipse Langium up to 4.4.0 IndentationAwareTokenBuilder algorithmic complexity
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.3 | $0-$5k | 0.80+ |
Summary
A vulnerability marked as problematic has been reported in Eclipse Langium up to 4.4.0. This affects the function IndentationAwareTokenBuilder. This manipulation causes algorithmic complexity.
This vulnerability is handled as CVE-2026-124683. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability classified as problematic was found in Eclipse Langium up to 4.4.0. Affected by this vulnerability is the function IndentationAwareTokenBuilder. The manipulation with an unknown input leads to a algorithmic complexity vulnerability. The CWE definition for the vulnerability is CWE-407. An algorithm in a product has an inefficient worst-case computational complexity that may be detrimental to system performance and can be triggered by an attacker, typically using crafted manipulations that ensure that the worst case is being reached. As an impact it is known to affect availability. The summary by CVE is:
Eclipse Langium versions 3.2.0 through 4.4.0 contain an inefficient algorithmic complexity issue (CWE-407) in the opt-in IndentationAwareTokenBuilder and IndentationAwareLexer. When producing DEDENT tokens, the token builder recomputes line numbers by re-scanning the entire preceding document text. A document whose indentation changes on most lines then takes quadratic time to tokenize. Because tokenization is synchronous, a crafted document of a few hundred kilobytes can block the Node.js event loop for tens of seconds. That causes a DoS for every user served by the same process. Languages built with the DefaultLexer and DefaultTokenBuilder are unaffected.
It is possible to read the advisory at gitlab.eclipse.org. This vulnerability is known as CVE-2026-124683 since 11/09/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1499 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.3
VulDB Base Score: 5.3
VulDB Temp Score: 5.3
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Algorithmic complexityCWE: CWE-407 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
11/09/2026 Advisory disclosed11/09/2026 CVE reserved
11/09/2026 VulDB entry created
11/09/2026 VulDB entry last update
Sources
Advisory: gitlab.eclipse.orgStatus: Confirmed
CNA: eclipse
CVE: CVE-2026-124683 (🔒)
GCVE (CVE): GCVE-0-2026-124683
GCVE (VulDB): GCVE-100-433171
Entry
Created: 11/09/2026 17:32Changes: 11/09/2026 17:32 (64)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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