CVE-2025-54810

Sept. 19, 2025, 4 p.m.

8.6
High

Description

Cognex In-Sight Explorer and In-Sight Camera Firmware expose a proprietary protocol on TCP port 1069 to perform management operations such as modifying system properties. The user management functionality handles sensitive data such as registered usernames and passwords over an unencrypted channel, allowing an adjacent attacker to intercept valid credentials to gain access to the device.

Product(s) Impacted

Vendor Product Versions
Cognex
  • In-sight Explorer
  • In-sight Camera
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-294
Authentication Bypass by Capture-replay
A capture-replay flaw exists when the design of the product makes it possible for a malicious user to sniff network traffic and bypass authentication by replaying it to the server in question to the same effect as the original message (or with minor changes).

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a cognex in-sight_explorer / / / / / / / /
a cognex in-sight_camera / / / / / / / /

CVSS Score

8.6 / 10

CVSS Data - 4.0

  • Attack Vector: ADJACENT
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: Sept. 18, 2025, 10:15 p.m.
Last Modified: Sept. 19, 2025, 4 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

ics-cert@hq.dhs.gov

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.