AI / ML CVE-2026-22687
MEDIUMSeverity by source
AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L
AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
Primary rating from GitHub Advisory.
CVSS VectorGitHub Advisory
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L
Lifecycle Timeline
4DescriptionGitHub Advisory
WeKnora is an LLM-powered framework designed for deep document understanding and semantic retrieval. Prior to version 0.2.5, after WeKnora enables the Agent service, it allows users to call the database query tool. Due to insufficient backend validation, an attacker can use prompt‑based bypass techniques to evade query restrictions and obtain sensitive information from the target server and database. This issue has been patched in version 0.2.5.
AnalysisAI
WeKnora versions before 0.2.5 allow unauthenticated attackers to bypass database query restrictions through prompt injection techniques when the Agent service is enabled, enabling unauthorized access to sensitive data. Public exploit code exists for this vulnerability, which affects the framework's document understanding and semantic retrieval capabilities. …
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Vulnerability AssessmentAI
| Risk Assessment | CVSS 5.6 (MEDIUM). … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker could exploit this vulnerability to call the database query tool. |
| Remediation | A vendor patch is available — apply it immediately. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. …
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Vendor StatusVendor
SUSE
Severity: HighShare
External POC / Exploit Code
Leaving vuln.today
GHSA-pcwc-3fw3-8cqv