Vulnerability report

Exploited in the wild Confirmed confidence In CISA KEV

CVE-2023-47565

Legacy VioStor NVR

QNAP / VioStor NVR · affected before 5.0.0

Severity
CVSS 8.0 · High
Confidence
Confirmed
Exploit status
Exploited in the wild
EPSS
73.3%
First observed
—
Last observed
—

Decision summary

What security teams need to know first

Direct answers before the deeper technical record.

What it is

CVE-2023-47565 is Legacy VioStor NVR. An OS command injection vulnerability has been found to affect legacy QNAP VioStor NVR models running QVR Firmware 4.x. If exploited, the vulnerability could allow authenticated...

Is it exploited?

Yes. Previdian tracks this CVE as a known exploited vulnerability. Confidence is confirmed. Listed in CISA KEV.

Who is affected?

QNAP / VioStor NVR affected before 5.0.0.

What should we do?

Prioritize remediation. Validate affected assets and apply vendor fixes on an accelerated timeline.

Overview

An OS command injection vulnerability has been found to affect legacy QNAP VioStor NVR models running QVR Firmware 4.x

An OS command injection vulnerability has been found to affect legacy QNAP VioStor NVR models running QVR Firmware 4.x. If exploited, the vulnerability could allow authenticated users to execute commands via a network.

We have already fixed the vulnerability in the following versions:

QVR Firmware 5.0.0 and later

QNAP Systems Inc. Affected
VioStor NVR
Before 5.0.0
Published
08 Dec 2023
Exploitation Reported
21 Dec 2023
Attack vector
Adjacent
Complexity
Low
Privileges
Low
User interaction
None

Tags

cisa windows nessus_scanner ios

CVE References

Exploitation evidence

Why Previdian marks this CVE as exploited

Third-party attestation and first-party sensor observation are shown separately so teams can judge the evidence chain.

Exploited in the wild

CISA

Recorded 21 Dec 2023

A trusted third party reported exploitation.

Known exploited vulnerability sources

Per-source evidence links for KEV attestations are available through the Previdian Pro API.

Learn about Pro API access
Source Added
CISA First 2023-12-21 00:00 UTC

Detection

Operational artifacts and observed signals

Make the evidence actionable in scanner, SOC, and edge-control workflows.

Observed signals

Request targets
User-Agents
Callback hosts
0
0
0

Request targets and User-Agents available in Pro. Callback host details available in Enterprise.

Virtual patch status

No Previdian virtual patch is currently available. Future rules ship for ModSecurity, Cloudflare, and AWS WAF.

Learn about virtual patches →

Scanner Artifacts

Scanner and exploit-framework references linked to this CVE.

Scanner Reference Detected
Nessus https://www.tenable.com/plugins/nessus/189226 02 Jun 2025

Risk and context

Severity, weaknesses, and research context

CVSS v3.1

8.0 High

Potential damage if exploited. Separate from whether attackers are using it.

CVSS:3.1/AV:A/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

EPSS

73.3%

Estimated chance of exploitation in the next 30 days. Previdian's warning comes from evidence, not this score.

Timeline

From disclosure to observed exploitation

  1. 09:26 UTC

    Nessus plugin available

    Scanner coverage available

  2. 00:00 UTC

    Added to CISA KEV

    Listed in the CISA Known Exploited Vulnerabilities catalog

  3. 16:06 UTC

    CVE published

    Vulnerability disclosed publicly

  4. 14:11 UTC

    CVE ID reserved

    Identifier reserved by the CNA

Pro API

Automate this intelligence

Confidence, exploit status, sensor telemetry, PoCs, scanner integrations, mentions, and tags are available programmatically for VM, SOC, and CTI workflows.

  • Evidence confidence and provenance
  • First-party sensor telemetry
  • PoC and scanner references
  • Affected versions and enrichment
  • Automation-ready JSON delivery

GET /api/v2/pro/kevs/CVE-2023-47565

Sample API response
{
  "cve_id": "CVE-2023-47565",
  "confidence": "Confirmed",
  "cvss_score": 8.0,
  "cvss_estimated": false,
  "epss_score": 0.73277,
  "exploit_status": {
    "exploited_in_the_wild": true,
    "active_exploitation_observed": false
  },
  "sensor_telemetry": { "attempts": 0, "sensors": 0 }
}