CyberSecBulletin
CVE-2025-52600NVD status: Analyzed

Cybersecurity Nozomi Networks Labs, a specialized security company focused on Industrial…

Published Updated By the CyberSecBulletin desk

CVE-2025-52600 is a high-severity improper input validation vulnerability in QNV-C8012 from Hanwha Vision, with a CVSS 3.1 base score of 7.2 out of 10. It can be exploited remotely over the network by an attacker with administrator privileges, without any action from a user. Affected QNV-C8012 versions: Prior to version 2.22.05. The record does not name a fixed version, so check the vendor advisory. There is no confirmed exploitation so far. EPSS estimates a 0.4% chance of exploitation within 30 days, which is low compared with other CVEs.

Next patch cycle

High severity with no evidence of exploitation so far.

What to do

  1. Update Xno-8082r Firmware to 2.24.00 or a later version.
  2. Update Xnv-8082r Firmware to 2.24.00 or a later version.
  3. Update Xnd-8082rf Firmware to 2.24.00 or a later version.
  4. Read the advisory on hanwhavision.com for workarounds and exact fixed builds.

Affected products and versions

VendorProductAffected versionsFixed in
Hanwha VisionQNV-C8012Prior to version 2.22.05Not stated
HanwhavisionXno-8082r Firmwarebefore 2.24.002.24.00
HanwhavisionXnv-8082r Firmwarebefore 2.24.002.24.00
HanwhavisionXnd-8082rf Firmwarebefore 2.24.002.24.00
HanwhavisionXnd-8082rv Firmwarebefore 2.24.002.24.00
HanwhavisionXnb-8002 Firmwarebefore 2.24.002.24.00
HanwhavisionXno-9082rz Firmwarebefore 2.24.002.24.00
HanwhavisionXnv-9082r Firmwarebefore 2.24.002.24.00
HanwhavisionXnd-9082rf Firmwarebefore 2.24.002.24.00
HanwhavisionXnd-9082rv Firmwarebefore 2.24.002.24.00
HanwhavisionXnb-9002 Firmwarebefore 2.24.002.24.00
HanwhavisionXnf-9010rv Firmwarebefore 2.24.002.24.00
HanwhavisionXnf-9010rs Firmwarebefore 2.24.002.24.00
HanwhavisionXnf-9010rvm Firmwarebefore 2.24.002.24.00
HanwhavisionXnd-c7083rv Firmwarebefore 2.24.002.24.00
HanwhavisionXno-c7083r Firmwarebefore 2.24.002.24.00
HanwhavisionXnv-c7083r Firmwarebefore 2.24.002.24.00
HanwhavisionXnd-c6083rv Firmwarebefore 2.24.002.24.00
HanwhavisionXnv-c6083r Firmwarebefore 2.24.002.24.00
HanwhavisionXnv-c6083 Firmwarebefore 2.24.002.24.00
HanwhavisionXno-c6083r Firmwarebefore 2.24.002.24.00
HanwhavisionXno-c9083r Firmwarebefore 2.24.002.24.00
HanwhavisionXnd-c9083rv Firmwarebefore 2.24.002.24.00
HanwhavisionXnv-c9083r Firmwarebefore 2.24.002.24.00
HanwhavisionXno-c8083r Firmwarebefore 2.24.002.24.00

Version data comes from the organisation that assigned the CVE; 35 further products are omitted here. Confirm against the vendor advisory before deciding you are unaffected.

How the severity score breaks down

Attack vector
NetworkCan be exploited remotely over a network, including the internet.
Attack complexity
LowNo special conditions are needed; the attack works reliably.
Privileges required
HighAdministrator-level access is required first.
User interaction
NoneNo action by a victim is required.
Scope
UnchangedImpact stays within the vulnerable component.
Confidentiality
HighAll data handled by the component can be read.
Integrity
HighData or code can be modified at will.
Availability
HighThe component can be taken down completely.

Vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H. Scored by NVD.

Scoring systemScoreSeverityScored by
CVSS 4.05.2MediumCNA
CVSS 3.17.2HighNVD

Official description

Cybersecurity Nozomi Networks Labs, a specialized security company focused on Industrial Control Systems (ICS) and OT/IoT security, has discovered a vulnerability in camera video analytics that Improper input validation. This vulnerability could allow an attacker to execute specific commands on the user's host PC.The manufacturer has released patch firmware for the flaw, please refer to the manufacturer's report for details and workarounds.

Source: the CVE record as published by its numbering authority, via NVD and CVE.org.

The underlying weakness: Improper Input Validation

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

How developers prevent this class of flaw

  • Consider using language-theoretic security (LangSec) techniques that characterize inputs using a formal language and build recognizers for that language. This effectively requires parsing to be a distinct layer that effectively enforces a boundary between raw input and internal data representations, instead of allowing parser code to be scattered throughout the program, where it could be subject to errors or inconsistencies that create weaknesses.
  • Use an input validation framework such as Struts or the OWASP ESAPI Validation API. Note that using a framework does not automatically address all input validation problems; be mindful of weaknesses that could arise from misusing the framework itself (CWE-1173).
  • Understand all the potential areas where untrusted inputs can enter the product, including but not limited to: parameters or arguments, cookies, anything read from the network, environment variables, reverse DNS lookups, query results, request headers, URL components, e-mail, files, filenames, databases, and any external systems that provide data to the application. Remember that such inputs may be obtained indirectly through API calls.

More Improper Input Validation vulnerabilities (CWE-20)

Timeline

  1. CVE record published.
  2. CISA published its SSVC assessment (exploitation: none, automatable: no, technical impact: partial).
  3. Record last changed materially (score, affected products, status or references).

References

Recent Improper Input Validation vulnerabilities

Spotted an error? Tell us.