CVE-2025-52600: Hanwha Xno-8082r Firmware RCE Flaw

CVE-2025-52600 Overview

CVE-2025-52600 is an improper input validation flaw [CWE-20] in the camera video analytics functionality of a wide range of Hanwha Vision network cameras. Nozomi Networks Labs, a research team specialized in Industrial Control Systems (ICS) and OT/IoT security, discovered the vulnerability and reported it to Hanwha Vision. An attacker who can reach the camera's analytics interface can leverage the flaw to execute specific commands on the host PC of a user interacting with the device. Hanwha Vision has released patch firmware addressing the issue across hundreds of affected camera models.

Critical Impact
Improper input validation in camera video analytics allows an attacker to execute specific commands on the host PC of a user interacting with the camera, impacting the integrity, confidentiality, and availability of downstream systems.

Affected Products

Hanwha Vision X-series IP cameras and firmware (XNO/XNV/XND/XNB/XNF/XNP/XNZ families, including XNO-8082R, XNV-8082R, XND-8082RF, XNB-8002, and many more)
Hanwha Vision Q-series and T-series cameras (QNV/QNO/QND/QNE/QNF/QNP/TNV/TNB models such as QNV-C9083R, QNE-C9013RL, TNV-C7013RC, TNB-6030)
Hanwha Vision PNM multi-sensor cameras and legacy K-series models (PNM-9080VQ, PNM-9000VD, PNM-9322VQP, KNB-2000, KNO-2080RN, KND-2010, KNP-2320RH and related variants)

Discovery Timeline

Vulnerability discovered by Nozomi Networks Labs
Disclosure to Hanwha Vision
2025-12-26 - CVE-2025-52600 published to NVD
2026-01-07 - Last updated in NVD database

Technical Details for CVE-2025-52600

Vulnerability Analysis

The weakness resides in the camera video analytics component, which accepts input that is not properly validated before being processed. When a user with sufficient privileges interacts with the analytics feature, an attacker-controlled value can influence command execution on the user's host PC rather than on the camera itself. The exploitation chain therefore crosses a trust boundary: data originating from the camera (or from analytics configuration) acts on the client workstation. According to the published metrics, the attack vector is network-based, requires high privileges and user interaction, and produces no direct impact on the camera (vulnerable system) but a high impact on subsequent systems in terms of confidentiality, integrity, and availability.

Root Cause

The root cause is improper input validation [CWE-20] in the analytics handling code path. Inputs associated with analytics processing are accepted without sufficient sanitization or type/content checks, allowing crafted data to alter the execution context on the consumer side. Because the camera is widely deployed in physical security and surveillance environments, the trust placed in its output by management workstations amplifies the impact of the validation gap.

Attack Vector

Exploitation requires network access to the affected Hanwha Vision device and an authenticated, high-privilege session, plus interaction by a user operating the analytics interface. An attacker first manipulates analytics configuration or response data on the camera, then waits for or coerces a privileged user to view or process that data on a host PC. When the malicious analytics payload is rendered or parsed by the client, it triggers execution of specific commands on the operator's workstation, which can be used to pivot into the broader surveillance or enterprise network.

No public proof-of-concept exploit has been published, and the vulnerability is not listed in CISA's Known Exploited Vulnerabilities catalog.

Detection Methods for CVE-2025-52600

Indicators of Compromise

Unexpected process creation on workstations immediately after operators open camera analytics views or dashboards for Hanwha Vision devices.
Outbound connections from operator workstations to Hanwha Vision camera IP addresses on analytics-related ports outside of normal management windows.
Changes to analytics rules, metadata, or configuration on cameras that do not correspond to a tracked change request.

Detection Strategies

Monitor endpoints used by surveillance operators for child processes spawned by browsers or VMS clients shortly after accessing camera analytics URLs.
Inspect HTTP/HTTPS traffic between operator workstations and cameras for malformed or unexpected analytics payloads that deviate from vendor schemas.
Correlate camera configuration changes with the originating user account and source IP to flag unauthorized modifications of analytics settings.

Monitoring Recommendations

Enable verbose logging on Hanwha Vision cameras and forward logs to a central SIEM or data lake for retention and correlation.
Track firmware versions across the fleet and alert when devices remain on pre-patch firmware after the vendor advisory date.
Baseline normal operator workstation behavior when interacting with camera analytics, and alert on deviations such as new outbound network destinations or scripting host execution.

How to Mitigate CVE-2025-52600

Immediate Actions Required

Apply the firmware updates published by Hanwha Vision for every affected model identified in the official advisory.
Restrict access to camera management and analytics interfaces to dedicated, segmented VLANs reachable only by authorized operator workstations.
Enforce least privilege on camera accounts and remove unused high-privilege users that could be abused to reach the analytics functionality.
Verify that operator workstations used to manage cameras run up-to-date endpoint protection and are patched against common command execution techniques.

Patch Information

Hanwha Vision has released patched firmware addressing CVE-2025-52600 across the affected camera lines. Refer to the Hanwha Vision Camera Vulnerability Report (CVE-2025-52598/52601/8075) for the full model-to-firmware mapping, remediation steps, and any model-specific workarounds.

Workarounds

Disable or limit the camera video analytics functionality on affected devices until patched firmware can be deployed.
Place cameras behind a firewall or management jump host that allows analytics interaction only from hardened, dedicated workstations.
Require multi-factor authentication on the VMS or management console used to interact with camera analytics, reducing the chance of a high-privilege session being abused.

bash

# Configuration example: restrict camera management access at the network edge
# Replace placeholders with your environment-specific values.

# Allow only the dedicated VMS subnet to reach camera management/analytics ports
iptables -A FORWARD -s 10.20.30.0/24 -d 10.50.0.0/16 -p tcp \
    -m multiport --dports 80,443,554 -j ACCEPT

# Drop all other inbound traffic to the camera VLAN
iptables -A FORWARD -d 10.50.0.0/16 -j DROP