CVE intelligence and bounded remediation

CVE-2025-57806 — Local Deep Research is an AI-powered research assistant for deep, iterative research

Medium CVSS 6.9

Local Deep Research is an AI-powered research assistant for deep, iterative research. Versions 0.2.0 through 0.6.7 stored confidential information, including API keys, in a local SQLite database without encryption. This behavior was not clearly documented outside of the database architecture page. Users were not given the ability to configure the database location, allowing anyone with access to the container or host filesystem to retrieve sensitive data in plaintext by accessing the .db file. This is fixed in version 1.0.0.

Severity
Medium
CVSS
6.9 (4.0)
Published
2025-09-03
CISA KEV
Not currently listed
Ecosystem
software/application
Weaknesses
CWE-312, CWE-522

Affected products

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Matched remediation archetype

Information disclosure and sensitive data exposure

This catalog composition supplies bounded fallback guidance. Explicitly reviewed curated workflows load with the complete record below.

Check exposure

  • Trace sensitive data through responses, errors, logs, metrics, traces, caches, exports, files, backups, and client bundles.
  • Identify affected subjects, tenants, retention windows, access controls, and downstream copies without opening unnecessary sensitive records.
  • Review metadata, timing, status, length, and existence signals as well as direct content disclosure.

Remediate safely

  • Minimize collection and output, apply field-level authorization and redaction at a centralized boundary, and return generic external errors.
  • Remove secrets and sensitive data from logs, artifacts, URLs, caches, and client-side bundles; rotate credentials that may have been exposed.
  • Update the affected component and add synthetic-data tests for response, error, observability, and export paths.

Authoritative sources

Complete CVE record and remediation plan

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