CVE-2026-18852 (GCVE-0-2026-18852)
Vulnerability from cvelistv5 – Published: 2026-08-04 23:15 – Updated: 2026-08-05 14:28
VLAI
EPSS
VEX
Title
epsilla-cloud vectordb Filter expr.cpp ShuntingYard unusual condition
Summary
A vulnerability has been found in epsilla-cloud vectordb up to 0.3.18/df5a5f5afb85a2376a0f2f316c79dea9b2c6ac7a. This impacts the function SplitTokens/ShuntingYard of the file engine/query/expr/expr.cpp of the component Filter Parser. Such manipulation leads to improper check for unusual conditions. The attack needs to be performed locally. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-05 13:17 UTC
CWE
- CWE-754 - Improper Check for Unusual Conditions
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/385857 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/385857/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-18852 | third-party-advisory |
| https://vuldb.com/submit/858196 | third-party-advisory |
| https://github.com/fa1c4/security-advisories/tree… | related |
| https://github.com/fa1c4/security-advisories/tree… | exploit |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| epsilla-cloud | vectordb |
Affected:
0.3.0
Affected: 0.3.1 Affected: 0.3.2 Affected: 0.3.3 Affected: 0.3.4 Affected: 0.3.5 Affected: 0.3.6 Affected: 0.3.7 Affected: 0.3.8 Affected: 0.3.9 Affected: 0.3.10 Affected: 0.3.11 Affected: 0.3.12 Affected: 0.3.13 Affected: 0.3.14 Affected: 0.3.15 Affected: 0.3.16 Affected: 0.3.17 Affected: 0.3.18 Affected: df5a5f5afb85a2376a0f2f316c79dea9b2c6ac7a cpe:2.3:a:epsilla-cloud:vectordb:*:*:*:*:*:*:*:* |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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