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CVE Vulnerability Database
Vulnerability Database/CVE-2026-18852

CVE-2026-18852: Epsilla VectorDB Privilege Escalation Flaw

CVE-2026-18852 is a privilege escalation vulnerability in epsilla-cloud vectordb affecting versions up to 0.3.18. The flaw exists in the Filter Parser component and requires local access to exploit. This article covers technical details, affected versions, impact assessment, and mitigation strategies.

Published:

CVE-2026-18852 Overview

CVE-2026-18852 affects epsilla-cloud vectordb versions up to 0.3.18 (commit df5a5f5afb85a2376a0f2f316c79dea9b2c6ac7a). The flaw resides in the SplitTokens and ShuntingYard functions inside engine/query/expr/expr.cpp, part of the Filter Parser component. The functions perform an improper check for unusual conditions [CWE-754], allowing a local authenticated user to influence parser behavior with crafted filter expressions. The exploit has been publicly disclosed. The vendor was contacted prior to disclosure but did not respond.

Critical Impact

Local low-privileged attackers can trigger improper condition handling in the VectorDB filter parser, producing limited availability impact against the query engine.

Affected Products

  • epsilla-cloud vectordb up to version 0.3.18
  • Codebase at commit df5a5f5afb85a2376a0f2f316c79dea9b2c6ac7a
  • Filter Parser component (engine/query/expr/expr.cpp)

Discovery Timeline

  • 2026-08-05 - CVE-2026-18852 published to NVD
  • 2026-08-05 - Last updated in NVD database

Technical Details for CVE-2026-18852

Vulnerability Analysis

The vulnerability is an improper check for unusual conditions inside the VectorDB filter expression parser. Two related functions are affected: SplitTokens, which tokenizes filter input, and ShuntingYard, which converts the token stream into a form the query engine can evaluate. Both functions omit sufficient validation of edge cases in the input stream.

When a filter expression contains malformed or unexpected token sequences, the parser progresses without rejecting the input or handling the anomalous state. Downstream logic then operates on partially validated data, producing errors or unstable behavior in the query engine.

Exploitation requires local access with low privileges. The attack does not require user interaction. The scope of impact is limited to a partial availability effect on the affected component, with no confidentiality or integrity impact identified.

Root Cause

The root cause is missing or insufficient defensive checks in the filter parser. SplitTokens and ShuntingYard fail to detect and reject unusual token patterns, empty operand sequences, or malformed operator arrangements. This aligns with CWE-754: Improper Check for Unusual or Exceptional Conditions.

Attack Vector

An authenticated local user submits a crafted filter expression to the VectorDB query interface. The parser processes the malformed input without proper error handling, causing anomalous execution paths within the query engine. Public proof-of-concept material is available in the researcher's GitHub PoC Repository.

No verified exploit code is reproduced here. Refer to the GitHub Security Advisories entry and VulDB CVE-2026-18852 for technical detail.

Detection Methods for CVE-2026-18852

Indicators of Compromise

  • Unexpected termination or restart events for the epsilla vectordb query process on hosts running vulnerable versions.
  • Query logs containing malformed filter expressions with unbalanced operators, empty operand tokens, or unusual character sequences targeting the filter parser.
  • Repeated failed or anomalous filter queries originating from local user sessions.

Detection Strategies

  • Enable verbose logging on the VectorDB query engine and alert on parser errors originating from SplitTokens or ShuntingYard.
  • Inspect application logs for repeated malformed filter submissions from the same local user account.
  • Monitor process health for the epsilla-cloud vectordb service to detect abnormal restart cycles.

Monitoring Recommendations

  • Correlate local user session activity with vectordb query errors using centralized log aggregation.
  • Track resource consumption of the vectordb process to identify availability degradation tied to malformed queries.
  • Baseline normal filter expression patterns and alert on statistical outliers submitted by authenticated users.

How to Mitigate CVE-2026-18852

Immediate Actions Required

  • Restrict local access to hosts running epsilla-cloud vectordb to trusted administrators only.
  • Audit all local accounts with query privileges against the vectordb service and remove unnecessary access.
  • Enable query logging and forward parser error events to a centralized monitoring system.

Patch Information

No vendor patch has been published at the time of disclosure. According to the advisory, the vendor did not respond to disclosure attempts. Track the GitHub Security Advisories entry and VulDB Vulnerability #385857 for future fix availability.

Workarounds

  • Limit filter expression input at an application-layer proxy that validates syntax before forwarding queries to vectordb.
  • Run the vectordb process under a least-privilege service account with resource limits to contain availability impact.
  • Isolate the vectordb host on a segmented network to minimize the set of users able to reach the local interface.
bash
# Example: restrict local access to the vectordb service with a dedicated group
sudo groupadd vectordb-users
sudo chown root:vectordb-users /usr/local/bin/vectordb
sudo chmod 750 /usr/local/bin/vectordb
# Add only approved users to the vectordb-users group
sudo usermod -aG vectordb-users <approved_user>

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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